{"id":"W2910304375","doi":"10.1016/j.biopsych.2019.03.141","title":"127. Examining Subcortical-Cortical Connectivity in Schizophrenia Using Personalized Intrinsic Network Topography","year":2019,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Schizophrenia (object-oriented programming); Functional connectivity; Schizophrenia spectrum; Neuroscience; Psychology; Cognitive psychology; Psychosis; Psychiatry","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":[0.0004393797,0.0001209862,0.0001330177,0.0003461427,0.000322833,0.0002469488,0.000252803,0.000444728,0.005222332],"category_scores_gemma":[0.0010756,0.0001070719,0.0002018103,0.0002693197,0.0001511957,0.0003279315,0.0002053215,0.0002565743,0.0004190952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603793,"about_ca_system_score_gemma":0.0003761878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00739351,"about_ca_topic_score_gemma":0.01852294,"domain_scores_codex":[0.9999502,0.00001287114,0.000003017374,0.00001021243,0.00001603256,0.000007844809],"domain_scores_gemma":[0.9998394,0.00006956557,0.00001811483,0.00002134483,0.00003319036,0.0000183794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001494497,0.0004574116,0.1020879,0.0008671997,0.0006920486,0.002030988,0.000887979,0.008763962,0.2716647,0.01642118,0.03549078,0.5591414],"study_design_scores_gemma":[0.0004865678,0.001406346,0.8247696,0.0001998269,0.001090105,0.004246762,0.0006669749,0.03697972,0.0786005,0.02572858,0.02568579,0.0001392681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062811,0.002242608,0.05486706,0.004133035,0.0003363029,0.0003363827,0.004377651,0.0006819878,0.02674374],"genre_scores_gemma":[0.9693968,0.001041369,0.02213248,0.0006454319,0.00007048536,0.0001418721,0.0006905333,0.00007215116,0.005808943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00739351,"threshold_uncertainty_score":0.01747042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07769429988565965,"score_gpt":0.2884042162985733,"score_spread":0.2107099164129137,"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."}}