{"id":"W4386753060","doi":"10.1016/j.ajp.2023.103767","title":"Multivariate classification based on large-scale brain networks during early abstinence predicted lapse among male detoxified alcohol-dependent patients","year":2023,"lang":"en","type":"article","venue":"Asian Journal of Psychiatry","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"West China Hospital, Sichuan University; Sichuan University; National Natural Science Foundation of China","keywords":"Abstinence; Neuroimaging; Connectome; Multivariate statistics; Multivariate analysis; Magnetic resonance imaging; Baseline (sea); Medicine; Psychology; Internal medicine; Neuroscience; Psychiatry; Functional connectivity; Machine learning; Biology; Computer science; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001472606,0.0002198811,0.0002103308,0.000291179,0.0002715569,0.0004454674,0.0001839404,0.0002650887,0.002297887],"category_scores_gemma":[0.0009868174,0.00007500406,0.0003243752,0.0002899794,0.0001261375,0.0003631072,0.0003206438,0.000453672,0.0001559354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200687,"about_ca_system_score_gemma":0.0002103202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408142,"about_ca_topic_score_gemma":0.0116175,"domain_scores_codex":[0.9999526,0.000008553563,0.000004491466,0.00001262085,0.000005203795,0.00001653107],"domain_scores_gemma":[0.99968,0.00008615395,0.0001089362,0.00001875291,0.00002669959,0.00007940978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004453048,0.00006867324,0.9927965,0.00001328344,0.0001209092,0.0001635621,0.0001437219,0.0001487633,0.001173869,0.000067243,0.0001420342,0.004716239],"study_design_scores_gemma":[0.000002936697,0.00004884419,0.9986163,0.000004015334,0.00003258187,0.00009938325,0.0001661694,0.0007724218,0.00009814572,0.00009278975,0.00006331943,0.000003014927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999426,0.00008706479,0.0000877602,0.00004873591,0.000005377128,0.000003066695,0.0001219995,0.000001890567,0.0002180976],"genre_scores_gemma":[0.9996268,0.00004233824,0.00004312349,0.000005780395,0.000006644792,0.000002171029,0.000120727,0.000001225988,0.0001512015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00408142,"threshold_uncertainty_score":0.008115351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924979139689839,"score_gpt":0.2551971392724577,"score_spread":0.2359473478755593,"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."}}