{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33e3","dataset_id":"ds005410","associated_paper_doi":null,"authors":["Yuri G. Pavlov"],"bids_version":"1.8.0","contact_info":["Yuri G. Pavlov"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005410.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":81,"ages":[55,26,24,32,23,30,21,30,33,55,18,22,51,24,27,24,26,20,20,38,39,21,25,26,43,28,51,52,20,54,32,32,32,23,23,21,53,33,26,20,30,21,18,26,23,23,18,20,22,20,23,33,55,21,21,21,19,59,23,25,25,22,22,31,30,25,26,24,22,21,57,21,27,24,20,24,25,23,26,24,19],"age_min":18,"age_max":59,"age_mean":28.54320987654321,"species":null,"sex_distribution":{"f":56,"m":23,"o":2},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005410","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"8eb7edc5da0ee53c3ca2640a9f2f2141629589de6f9a69d2b5031376c7d88205","license":"CC0","n_contributing_labs":null,"name":"Semantic_conditioning","readme":"Semantic conditioning task\nThe dataset was used in this article:\nPavlov YG, Menger NS, Keil A, Kotchoubey B. 2024. Contingency awareness shapes neural responses in fear conditioning. https://doi.org/10.1101/2024.08.13.607803","recording_modality":["eeg"],"senior_author":"Yuri G. Pavlov","sessions":[],"size_bytes":21213480734,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["conditioning"],"timestamps":{"digested_at":"2026-04-22T12:27:44.974137+00:00","dataset_created_at":"2024-08-13T12:43:18.263Z","dataset_modified_at":"2024-08-26T13:51:29.000Z"},"total_files":81,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005410","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-conditioning_events.json"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"ed9ee0970670c1e1","model":"openai/gpt-5.2","tagged_at":"2026-01-20T17:53:21.314048+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Affect"],"confidence":{"pathology":0.6,"modality":0.6,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar few-shot examples by research purpose are the affect/reward paradigms where the primary construct is emotional/valence processing rather than task mechanics, e.g., (1) \"EEG: Three armed bandit gambling task\" labeled Type=\"Affect\" (reward/feedback-driven affective processing) and (2) \"EEG: Probabilistic Learning with Affective Feedback\" labeled Type=\"Learning\" (explicit learning focus with affective feedback). The target dataset explicitly mentions \"fear conditioning\", which by convention in these examples maps most naturally to an affective/emotion construct (fear) rather than generic learning, unless the metadata strongly emphasizes learning mechanisms. No few-shot example provides a direct conditioning paradigm, so these guide mainly the Affect-vs-Learning convention.","metadata_analysis":"Only minimal metadata is provided. Key quoted snippets:\n1) \"Semantic conditioning task\"\n2) \"Contingency awareness shapes neural responses in fear conditioning.\"","paper_abstract_analysis":"No useful paper information. (Only a citation/link is provided; no abstract text included.)","evidence_alignment_check":"Pathology:\n- Metadata says: no clinical recruitment information is provided (no diagnosis terms; only \"Semantic conditioning task\").\n- Few-shot pattern suggests: many cognitive/affective task datasets without explicit patient groups are labeled Healthy.\n- Alignment: PARTIAL (metadata is silent; few-shot suggests Healthy by convention).\n\nModality:\n- Metadata says: does not specify stimulus channel; only \"Semantic conditioning\" / \"fear conditioning\".\n- Few-shot pattern suggests: many lab-based conditioning/cognitive tasks are commonly visual (on-screen cues), but this is not stated here.\n- Alignment: WEAK (both are inferential; no explicit metadata fact).\n\nType:\n- Metadata says: \"fear conditioning\" and \"contingency awareness\" (affective conditioning context).\n- Few-shot pattern suggests: affect-labeled examples cover paradigms where emotional valence/aversive/reward processing is central (fits fear conditioning).\n- Alignment: ALIGN (explicit fear-conditioning wording supports Affect as primary construct).","decision_summary":"Top-2 candidates per category (with head-to-head selection):\n\n1) Pathology\n- Candidate A: Healthy\n  Evidence: No diagnosis/clinical group mentioned; dataset described only as a task dataset: \"Semantic conditioning task\".\n- Candidate B: Unknown\n  Evidence: Participants are not described at all (no statement like \"healthy participants\" or patient groups).\nDecision: Healthy wins by catalog convention when no disorder focus is stated.\nAlignment status: metadata silent; few-shot convention supports Healthy.\nConfidence basis: no direct participant quote; inference only.\n\n2) Modality\n- Candidate A: Visual\n  Evidence: \"Semantic\" conditioning commonly uses visually presented words/images as conditioned stimuli; no contrary info provided.\n- Candidate B: Auditory\n  Evidence: Fear conditioning can also use tones/sounds as CS/US; modality is unspecified in provided metadata.\nDecision: Visual selected as the more typical implementation for \"semantic\" cues, but this is uncertain.\nAlignment status: weak/inferential.\nConfidence basis: no explicit modality quote.\n\n3) Type\n- Candidate A: Affect\n  Evidence: Explicit phrase: \"fear conditioning\"; also implies emotional/aversive processing: \"Contingency awareness shapes neural responses in fear conditioning.\".\n- Candidate B: Learning\n  Evidence: Conditioning and contingency awareness also relate to associative learning.\nDecision: Affect wins because the task is explicitly framed as fear conditioning (emotion/affect as the central construct), with learning as a mechanism rather than the primary label.\nAlignment status: aligns with few-shot convention mapping emotion/reward/aversive paradigms to Affect.\nConfidence basis: one explicit quote containing \"fear conditioning\"."}},"nemar_citation_count":1,"computed_title":"Semantic_conditioning","nchans_counts":[{"val":63,"count":81}],"sfreq_counts":[{"val":1000.0,"count":81}],"stats_computed_at":"2026-04-21T23:17:03.731642+00:00","source_url":"https://openneuro.org/datasets/ds005410","total_duration_s":82714.748,"author_year":"Pavlov2024_Semantic_conditioning","canonical_name":null}}