{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3469","dataset_id":"ds006817","associated_paper_doi":"10.1101/2025.08.18.670829","authors":["Benjamin Lowe (ben.lowe@mq.edu.au)","Naohide Yamamoto (naohide.yamamoto@qut.edu.au)","Jonathan Robinson (jonathan.robinson@monash.edu)","Patrick Johnston (dr.pat.johnston@icloud.com)"],"bids_version":"1.1.0","contact_info":null,"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds006817.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":34,"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":"https://doi.org/10.1101/2025.08.18.670829"},"funding":[],"ingestion_fingerprint":"b13ece15093978b16c4380d817c0f70353b0d388e088685b1d80746add40d0c4","license":"CC0","n_contributing_labs":null,"name":"Visual Attribute-Specific Contextual Trajectory Paradigm 2.0","readme":"TBD upon publication.\nAssociated pre-print: https://doi.org/10.1101/2025.08.18.670829","recording_modality":["eeg"],"senior_author":null,"sessions":[],"size_bytes":12262905272,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["CTP"],"timestamps":{"digested_at":"2026-05-31T16:26:24.888002+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":34,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006817","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.md","task-CTP_eeg.json","task-CTP_events.json"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"reasoning":{"few_shot_analysis":"The given dataset is difficult to directly compare with the few-shot examples because it lacks detailed contextual descriptions about the participants or specific stimuli details in the metadata. However, the few-shot examples do provide guidance for interpreting the experimental design focus based on task paradigms and stimuli characteristics. For instance, datasets similar in nature like 'EEG: DPX Cog Ctl Task in Acute Mild TBI' use a visual task to study attentional processes, which suggests a similar mapping possible in the dataset with visual tasks to a perception or decision-making type.","metadata_analysis":"1. The dataset's title, 'Visual Attribute-Specific Contextual Trajectory Paradigm 2.0', indicates a focus on the visual modality. \n2. The event list includes terms like 'neutral-colour', 'neutral-shape', 'violation-colour', 'violation-orientation', indicating visual elements and potential perception or decision-making processes are studied.","paper_abstract_analysis":"No abstract is provided for the dataset, only a mention of a pre-print that is associated with the dataset. The available information is insufficient for extraction of additional diagnostic or contextual details.","evidence_alignment_check":"1. Pathology: The dataset does not mention any clinical condition for participant recruitment. Few-shot examples for datasets without clinical focus typically default to 'Healthy' for Pathology. This aligns with existing patterns.\n2. Modality: The consistent focus on visual elements such as 'colour', 'shape', and 'orientation' reinforces the modality as Visual, matching the stimuli's nature closely with those in the few-shot analysis.\n3. Type: Based on the task involving visual elements and the CTP (Contextual Trajectory Paradigm) abbreviation, which likely involves perception or decision-making processes regarding visual stimuli, the Type could be interpreted as Perception. Comparatively in few-shot examples, especially those focusing on visual elements, Perception is commonly used for similar studies.","decision_summary":"1. Pathology - Top candidate is 'Healthy' given the absence of any mention of a specific clinical condition and hence aligning with general healthy controls from few-shot patterns.\n2. Modality - Top candidate is 'Visual', aligning with visual stimuli description in the metadata reflected clear in the task and events.\n3. Type - 'Perception' is favored due to the visual focus and interpretation of task nature which fits best with similar examples in the few-shot data.","pathology":["Healthy"],"modality":["Visual"],"type":["Perception"],"confidence":{"pathology":0.8,"modality":0.8,"type":0.7}}},"computed_title":"Visual Attribute-Specific Contextual Trajectory Paradigm 2.0","nchans_counts":[{"val":65,"count":34}],"sfreq_counts":[{"val":1024.0,"count":34}],"stats_computed_at":"2026-05-31T19:34:32.602935+00:00","total_duration_s":78052.0,"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":"canonical","author_year":"Lowe2025","bad_channels_info":null,"associated_paper_meta":{"channel":"openneuro/openneuroPaperDOI","confidence":"high","author_overlap":-1,"is_oa":true,"oa_status":"preprint","source":"paper_resolver"}}}