{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33eb","dataset_id":"ds005486","associated_paper_doi":"10.1145/2939672.2939785","authors":["Nahian S. Chowdhury","Chuan Bi","Andrew J. Furman","Alan KI Chiang","Patrick Skippen","Emily Si","Samantha K Millard","Sarah M. Margerison","Darrah Spies","Michael L. Keaser","Joyce T. Da Silva","Shuo Chen","Siobhan M. Schabrun","David A. Seminowicz"],"bids_version":"1.6.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005486.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":159,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"http://dl.acm.org/ft_gateway.cfm?id=2939785&type=pdf"},"funding":[],"ingestion_fingerprint":"03e74ff6b1d25eee8c689c1a1f812d889ea40663eb692dffcb101ff642917c02","license":"CC0","n_contributing_labs":null,"name":"PREDICT","readme":null,"recording_modality":["eeg"],"senior_author":null,"sessions":["00","01","02","025","05"],"size_bytes":398401962832,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rest"],"timestamps":{"digested_at":"2026-05-31T16:18:57.791056+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":445,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005486","raw_key":"dataset_description.json","dep_keys":["CHANGES"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Unknown"],"modality":["Unknown"],"type":["Unknown"],"confidence":{"pathology":0.4,"modality":0.4,"type":0.4},"reasoning":{"few_shot_analysis":"The few-shot examples provide guidance mainly for mapping features to labels. In our dataset, there is no direct match to few-shot examples for a direct comparison, as the dataset lacks comprehensive metadata details. Without information about task paradigms, sensory stimuli, or participant pathology, it is challenging to draw any exact parallels with previously analyzed examples.","metadata_analysis":"The dataset metadata is sparse and lacks important details that could be used for classification. The 'title' is simply 'PREDICT', and the 'dataset_description' doesn't provide any specifics about the population diagnosis, task paradigm, or sensory modalities involved. Key fields such as 'participants_overview', 'tasks', and 'events' are missing.","paper_abstract_analysis":"No paper abstract is provided. This leaves us without additional context or descriptions that might help clarify the research focus of the study or the methodologies used.","evidence_alignment_check":"1. What the metadata SAYS: The metadata does not explicitly state any information on pathology, modality, or type. 2. What few-shot pattern SUGGESTS: Without specifics, few-shot examples cannot guide inferences adequately. 3. Whether they ALIGN or CONFLICT: There is a conflict of insufficient data; no alignment is available. 4. If CONFLICT: Metadata is overwhelmingly sparse, requiring 'Unknown' classification.","decision_summary":"Given the lack of crucial metadata and descriptions, it is not feasible to assign definitive labels confidently. The dataset lacks basic information that would allow even speculative inference. Therefore, 'Unknown' is assigned for all categories."}},"nemar_citation_count":0,"computed_title":"PREDICT","nchans_counts":[{"val":66,"count":445}],"sfreq_counts":[{"val":5000.0,"count":399},{"val":25000.0,"count":46}],"stats_computed_at":"2026-05-31T19:34:32.601214+00:00","total_duration_s":213624.18,"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":"Chowdhury2024","bad_channels_info":null,"associated_paper_meta":{"channel":"search","confidence":"medium","author_overlap":1,"is_oa":true,"oa_status":"gold","source":"paper_resolver"}}}