{"id":"W4399362984","doi":"10.1038/s41597-024-03390-1","title":"Individual Brain Charting dataset extension, third release for movie watching and retinotopy data","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canada First Research Excellence Fund; European Commission; University of Minnesota","keywords":"Retinotopy; Computer science; Functional magnetic resonance imaging; Neuroscience; Visual cortex; Task (project management); Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059827,0.001850759,0.001154766,0.001923522,0.0007280497,0.0015154,0.002189141,0.001741047,0.03444271],"category_scores_gemma":[0.004462334,0.000554786,0.001668102,0.002223813,0.0004640927,0.0008221121,0.001705697,0.001623396,0.03438189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006696535,"about_ca_system_score_gemma":0.00147405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571792,"about_ca_topic_score_gemma":0.03703334,"domain_scores_codex":[0.9994542,0.0000776154,0.00005609006,0.0002177824,0.0001080625,0.00008621742],"domain_scores_gemma":[0.9988976,0.000226046,0.00008963285,0.0004393156,0.0002229416,0.0001244734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004603089,0.0001244667,0.003554582,0.001317123,0.0002851428,0.0002052921,0.0001417372,0.001729936,0.003936468,0.001018113,0.9728523,0.01437448],"study_design_scores_gemma":[0.0008356543,0.0001272894,0.02903801,0.0002963618,0.0001856848,0.000518094,0.0001551477,0.005090565,0.005517407,0.005011887,0.9530795,0.0001444173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001830987,0.0001504595,0.001513834,0.00008038024,0.00006289154,0.000100806,0.9902529,0.004936843,0.001071004],"genre_scores_gemma":[0.003572169,0.00005626511,0.003725047,0.00005400807,0.00001951917,0.0003995477,0.990721,0.0006375858,0.0008148736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03444271,"threshold_uncertainty_score":0.1152223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2073092524645483,"score_gpt":0.3665259502698338,"score_spread":0.1592166978052854,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}