{"id":"W3047864448","doi":"10.1037/abn0000543","title":"All grown up: Computational theories of psychosis, complexity, and progress.","year":2020,"lang":"en","type":"article","venue":"Journal of Abnormal Psychology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; Wellcome Trust","keywords":"Psychology; Psychosis; PsycINFO; Schizophrenia (object-oriented programming); Predictive power; Blueprint; Computational model; Cognitive psychology; Cognitive science; Data science; MEDLINE; Psychiatry; Computer science; Artificial intelligence; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003047183,0.0001311158,0.0003428662,0.0001089856,0.00008331107,0.00002020787,0.0002451618,0.00005705295,0.00007731956],"category_scores_gemma":[0.001156715,0.0001092656,0.00009419039,0.0002069719,0.0009256604,0.0002562723,0.00009233427,0.000286761,0.000008578834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009389665,"about_ca_system_score_gemma":0.00002693455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001638665,"about_ca_topic_score_gemma":0.000001290272,"domain_scores_codex":[0.99857,0.0001935167,0.0004868007,0.0002337914,0.000337908,0.0001779375],"domain_scores_gemma":[0.9979106,0.001228429,0.0004841739,0.0000846974,0.000176524,0.0001155291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.009664014,0.001631636,0.2227721,0.0003754382,0.0007496785,0.0003248639,0.00939324,0.0009867726,0.03646535,0.4422117,0.2569765,0.01844857],"study_design_scores_gemma":[0.007191531,0.006869802,0.6255162,0.0000857897,0.0001163279,0.004010985,0.0004414034,0.0007898956,0.007710612,0.2824327,0.06426164,0.0005730684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8145144,0.0008192261,0.003099847,0.1760745,0.00161937,0.0001956544,0.00003806294,0.00003377711,0.003605126],"genre_scores_gemma":[0.9782693,0.00009506688,0.001772543,0.01960492,0.0002364057,0.000001917415,7.261409e-7,0.00001037714,0.000008693416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4027441,"threshold_uncertainty_score":0.4455722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0980897895919499,"score_gpt":0.3552514478404797,"score_spread":0.2571616582485298,"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."}}