{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3426","dataset_id":"ds005930","associated_paper_doi":null,"authors":["Yuanyuan Gao","De'Ja Rogers","Alexander von Lühmann","Antonio Ortega-Martinez","David A. Boas","Meryem A. Yücel"],"bids_version":"1.8.0","contact_info":["MERYEM YUCEL"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005930.v1.0.1","datatypes":["fnirs"],"demographics":{"subjects_count":12,"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/ds005930","osf_url":null,"github_url":null,"paper_url":null},"funding":["NIH BRAIN Initiative (Grant No. 1U01EB029856-01)"],"ingestion_fingerprint":"8d0a6efb4d0103c24c8d2e027978bccae27e7f786ccfd6d5dc45a1d5c04e8752","license":"CC0","n_contributing_labs":null,"name":"BallSqueezingHD_Gao2023","readme":null,"recording_modality":["fnirs"],"senior_author":"Meryem A. Yücel","sessions":[],"size_bytes":319015113,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["BallSqueezing"],"timestamps":{"digested_at":"2026-04-22T12:28:59.824213+00:00","dataset_created_at":"2025-02-17T17:54:06.518Z","dataset_modified_at":"2025-07-08T21:33:25.000Z"},"total_files":36,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005930","raw_key":"dataset_description.json","dep_keys":["CHANGES","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"e51798907a0fef1e","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Unknown"],"modality":["Motor"],"type":["Motor"],"confidence":{"pathology":0.4,"modality":0.7,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar few-shot example by paradigm is the “EEG Motor Movement/Imagery Dataset”, which maps a movement/imagery paradigm to Type=“Motor”. That example uses Modality=“Visual” because it explicitly includes on-screen visual targets; in the current dataset, no cue/stimulus channel is described, but the task name “BallSqueezing” strongly suggests a motor execution paradigm, which by convention is labeled with Motor as the dominant modality when no specific sensory stimulus modality is described. None of the few-shot examples provide a convention to decode “HD” in a title into a specific Pathology label without explicit metadata stating a diagnosis.","metadata_analysis":"Key available metadata is sparse. Relevant snippets: (1) title: \"BallSqueezingHD_Gao2023\"; (2) tasks: [\"BallSqueezing\"]; (3) participants: \"Subjects: 12\". There is no readme/abstract text here describing recruitment (healthy vs clinical) or the stimulus cueing modality (visual/auditory/etc.).","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says only \"BallSqueezingHD_Gao2023\" and does NOT explicitly state a diagnosis/recruitment group (no mention of Huntington’s disease, patients, controls, etc.). Few-shot patterns do not justify inferring pathology from an acronym in a title. ALIGNMENT: no conflict (both are insufficient) → choose Unknown.\n\nModality: Metadata says task is \"BallSqueezing\". Few-shot convention: motor paradigms are labeled with Motor type; modality depends on described stimulus channel (e.g., the motor/imagery example is Visual because it has screen targets). Here, no explicit sensory stimulus is described, so labeling Modality as Motor best matches the movement-centered paradigm. ALIGNMENT: partial (few-shot supports motor paradigm; cue modality unspecified) → choose Motor.\n\nType: Metadata says \"BallSqueezing\" (movement execution implied). Few-shot convention clearly maps movement/imagery paradigms to Type=\"Motor\". ALIGNMENT: yes → choose Motor.","decision_summary":"Top-2 candidates and selection:\n\nPathology:\n- Candidate 1: Unknown — supported by lack of explicit recruitment/diagnosis metadata (only \"Subjects: 12\" and title string).\n- Candidate 2: Other — weak inference that \"HD\" might indicate a clinical group (e.g., Huntington’s disease), but this is not explicitly stated anywhere.\nHead-to-head: Unknown wins because no explicit clinical-population fact is present; inferring from \"HD\" alone is too speculative. Confidence reflects minimal evidence.\n\nModality:\n- Candidate 1: Motor — supported by task name \"BallSqueezing\" implying movement as the primary experimental drive.\n- Candidate 2: Visual — possible if the squeezing was visually cued, but there is no metadata stating visual stimuli.\nHead-to-head: Motor wins because the only explicit paradigm information is motoric, and cue modality is unspecified. Confidence based on single strong task-name cue.\n\nType:\n- Candidate 1: Motor — supported by \"BallSqueezing\" and few-shot motor-paradigm convention.\n- Candidate 2: Other — if squeezing were only incidental while studying another construct, but no such aim is provided.\nHead-to-head: Motor wins given the only explicit task descriptor. Confidence moderate due to limited metadata but clear task implication.\n\nEvidence used for confidence scoring explicitly includes: \"BallSqueezingHD_Gao2023\", tasks=[\"BallSqueezing\"], and \"Subjects: 12\"."}},"computed_title":"BallSqueezingHD_Gao2023","nchans_counts":[{"val":200,"count":36}],"sfreq_counts":[{"val":8.719308035714286,"count":36}],"stats_computed_at":"2026-04-22T23:16:00.311098+00:00","total_duration_s":null,"canonical_name":null,"name_confidence":0.74,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Gao2023"}}