{"id":"W3211298881","doi":"","title":"The Brain Imaging Data Structure: a format for organizing and describing neuroimaging data","year":2016,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroimaging; Computer science; Neuroinformatics; Artificial intelligence; Natural language processing; Cognitive science; Neuroscience; Data science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005235654,0.00276082,0.001735432,0.006481885,0.001446152,0.006267342,0.002606902,0.003088477,0.02618811],"category_scores_gemma":[0.03001387,0.001796486,0.002341226,0.007324401,0.001415964,0.006956423,0.004817551,0.004340432,0.02410819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061718,"about_ca_system_score_gemma":0.005075053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005306033,"about_ca_topic_score_gemma":0.004769526,"domain_scores_codex":[0.9976249,0.0004527105,0.0009655898,0.0003315577,0.0004461035,0.0001791865],"domain_scores_gemma":[0.9765452,0.009507338,0.002142096,0.007043026,0.003730125,0.001032283],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009892017,0.000228773,0.005215758,0.001896005,0.0001515739,0.001180658,0.001313157,0.01288293,0.01126956,0.1138562,0.666154,0.1848622],"study_design_scores_gemma":[0.0002821053,0.000192943,0.003035709,0.000829487,0.0001311845,0.001624722,0.0005011353,0.03406448,0.0165865,0.1139974,0.8284192,0.0003349931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003581375,0.0003798488,0.7181934,0.002392278,0.0007696367,0.001008844,0.2028113,0.06461546,0.006247899],"genre_scores_gemma":[0.03739185,0.00135658,0.6255851,0.001543524,0.0005211824,0.004206206,0.2957179,0.02444433,0.009233426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9947643,"threshold_uncertainty_score":0.08760792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156215653252059,"score_gpt":0.2718281090498872,"score_spread":0.2302659525173666,"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."}}