{"id":"W4412440286","doi":"10.1016/j.nicl.2025.103840","title":"Multi-voxel pattern analysis for characterizing functional connectivity and neurocognitive function in major depression: A CAN-BIND-1 report","year":2025,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Centre for Addiction and Mental Health; Kingston General Hospital; St. Joseph’s Healthcare Hamilton; University of British Columbia; TRIUMF; University of Calgary; St. Michael's Hospital","funders":"","keywords":"Neurocognitive; Functional connectivity; Voxel; Depression (economics); Neuroscience; Connectome; Psychology; Computational biology; Biology; Computer science; Cognition; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011635,0.0003169977,0.0006853297,0.0005098107,0.0004154772,0.0001066609,0.0001472604,0.0001697117,0.00002806588],"category_scores_gemma":[0.03985169,0.0003158896,0.0003631978,0.001048787,0.0003133874,0.0003051758,0.0003174245,0.0006538876,0.000006917028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005638759,"about_ca_system_score_gemma":0.0001320582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006585081,"about_ca_topic_score_gemma":0.0005251854,"domain_scores_codex":[0.9957995,0.0006456468,0.0008915954,0.001948689,0.0003069389,0.000407668],"domain_scores_gemma":[0.9804952,0.01841371,0.0003258106,0.0004553935,0.0001932216,0.0001166712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008783091,0.0006103158,0.9464382,0.00004733434,0.0001572107,0.0002923872,0.00003858709,0.00003346082,0.04193501,0.00003178874,0.0005355349,0.009001864],"study_design_scores_gemma":[0.002762663,0.0001945978,0.9842413,0.00003251276,0.0003356245,0.00005517574,0.00003316553,0.007202661,0.003132705,0.0001705027,0.001591548,0.0002475364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345831,0.00003003253,0.05605105,0.006213799,0.001723865,0.000912509,0.0001281903,0.0001356875,0.0002217603],"genre_scores_gemma":[0.9835759,0.00002417424,0.000132192,0.01498726,0.000206775,0.000324303,0.00002903491,0.00002764178,0.0006926765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05591886,"threshold_uncertainty_score":0.9999293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150330022108964,"score_gpt":0.371605403287053,"score_spread":0.2565724010761566,"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."}}