{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a32b7","dataset_id":"ds002908","associated_paper_doi":null,"authors":["Rafal Bogacz","Vladimir Litvak"],"bids_version":"1.0.1","contact_info":["Eva Zita Patai"],"contributing_labs":null,"data_processed":false,"dataset_doi":"10.18112/openneuro.ds002908.v1.0.0","datatypes":["meg"],"demographics":{"subjects_count":13,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds002908","osf_url":null,"github_url":null,"paper_url":null},"funding":["MC_UU_12024/5","MC_UU_00003/1","BB/S006338/1","203147/Z/16/Z","MR/K005464/1"],"ingestion_fingerprint":"8fc17b60bf67ffd6a1de8158a752ccd72c8397071456c8a5d22e74cb5ad2e6ca","license":"CC0","n_contributing_labs":null,"name":"Human MEG recordings during sequential conflict task","readme":null,"recording_modality":["meg"],"senior_author":"Vladimir Litvak","sessions":["1","2","3","4","5","6"],"size_bytes":64199908375,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["mouse"],"timestamps":{"digested_at":"2026-04-22T12:25:30.703514+00:00","dataset_created_at":"2020-06-22T13:05:54.700Z","dataset_modified_at":"2020-08-04T19:03:33.000Z"},"total_files":53,"storage":{"backend":"s3","base":"s3://openneuro.org/ds002908","raw_key":"dataset_description.json","dep_keys":["CHANGES"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"9b1f566e30354bf0","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Unknown"],"modality":["Unknown"],"type":["Attention"],"confidence":{"pathology":0.4,"modality":0.4,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar few-shot by paradigm/construct is the DPX cognitive control dataset (few-shot: “EEG: DPX Cog Ctl Task in Acute Mild TBI”), which was labeled Type=Attention because the task probes cognitive control/conflict-related processing. This guides mapping “sequential conflict task” to Type=Attention. However, that few-shot also had explicit task/event details implying visual cues, whereas the current dataset metadata does not specify stimulus channel, so few-shot conventions cannot justify a Modality inference here.","metadata_analysis":"Key available facts are sparse: (1) Title explicitly states the paradigm: “Human MEG recordings during sequential conflict task”. (2) Only task string provided is “mouse” under “tasks”: [\"mouse\"], which indicates a response device/interaction but does not specify the sensory stimulus modality. (3) Participants info is minimal: “Subjects: 13”, with no diagnosis/health-screening information.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says only “Subjects: 13” (no clinical condition, no ‘healthy’ statement). Few-shot patterns often assume non-clinical unless stated, but this would be an inference without explicit support. ALIGNMENT: cannot assess; choose Unknown due to lack of explicit recruitment/pathology facts.\n\nModality: Metadata says “tasks”: [\"mouse\"] and title “sequential conflict task”, but does not state whether stimuli are visual/auditory/etc. Few-shot similar cognitive-control examples (e.g., DPX) are typically Visual, but that is a pattern-based guess. CONFLICT: few-shot suggests likely Visual, but metadata lacks the required fact; metadata insufficiency wins → Modality=Unknown.\n\nType: Metadata explicitly indicates “sequential conflict task” in the title. Few-shot convention for conflict/cognitive-control tasks maps to Attention (as in the DPX cognitive control example). ALIGNMENT: both metadata title and few-shot convention support Attention → Type=Attention.","decision_summary":"Top-2 candidates with head-to-head selection:\n\nPathology:\n- Candidate 1: Unknown — supported by lack of any diagnosis/health descriptor (quotes: “Subjects: 13”).\n- Candidate 2: Healthy — plausible because many MEG task datasets use healthy volunteers, but not explicitly stated.\nDecision: Unknown (metadata does not state recruitment as healthy or clinical). Confidence=0.4 because no explicit pathology evidence.\n\nModality:\n- Candidate 1: Unknown — supported by missing stimulus description (quotes: “tasks”: [\"mouse\"]).\n- Candidate 2: Visual — plausible given typical conflict tasks and few-shot DPX convention, but not stated here.\nDecision: Unknown (cannot infer stimulus channel from “mouse”; few-shot pattern not enough). Confidence=0.4 due to no explicit modality evidence.\n\nType:\n- Candidate 1: Attention — supported by title “sequential conflict task” and few-shot convention mapping conflict/cognitive control to Attention.\n- Candidate 2: Decision-making — alternative because conflict tasks can involve choice/response selection, but primary construct is conflict/cognitive control.\nDecision: Attention. Confidence=0.7 (one explicit metadata cue from title + strong few-shot analog)."}},"nemar_citation_count":1,"computed_title":"Human MEG recordings during sequential conflict task","nchans_counts":[{"val":299,"count":53}],"sfreq_counts":[{"val":2400.0,"count":53}],"stats_computed_at":"2026-04-22T23:16:00.221822+00:00","total_duration_s":18381.0,"canonical_name":null,"name_confidence":0.83,"name_meta":{"suggested_at":"2026-04-14T10:18:35.342Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Bogacz2020"}}