{"id":"W2594204702","doi":"10.1017/s1092852916000559","title":"Mixed features and mixed states in psychiatry: from calculus to geometry","year":2017,"lang":"en","type":"article","venue":"CNS Spectrums","topic":"Mental Health Research Topics","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brain and Cognition Discovery Foundation; University Health Network; University of Toronto","funders":"","keywords":"Content (measure theory); Action (physics); Calculus (dental); Computer science; Medicine; Mathematics; Orthodontics; Physics; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003151174,0.000174165,0.0002717371,0.0002176892,0.0002719707,0.0001346586,0.0004877053,0.0001464044,0.001054549],"category_scores_gemma":[0.0001266627,0.0001628533,0.00003610298,0.0001368029,0.0001292076,0.0001096818,0.000231963,0.0004112724,0.0004924217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107995,"about_ca_system_score_gemma":0.00005182945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095034,"about_ca_topic_score_gemma":0.01688028,"domain_scores_codex":[0.9982184,0.0001239697,0.0002395719,0.0005115344,0.000233699,0.000672813],"domain_scores_gemma":[0.998476,0.000100952,0.00008659897,0.0009503751,0.00001655117,0.000369562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007965103,0.0005853477,0.6339967,0.0001237478,0.0001260805,0.0002354068,0.003080885,0.000002909127,0.0005375086,0.06122997,0.1889168,0.1103681],"study_design_scores_gemma":[0.001133563,0.0002119523,0.9788411,0.00004488961,0.000005222117,0.000008255457,0.0007247895,0.00001716176,0.0004609784,0.007081404,0.01129369,0.000176941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708904,0.001341761,0.00003368596,0.01433952,0.002941173,0.0004696911,0.0001098758,0.00003883519,0.009835056],"genre_scores_gemma":[0.9935012,0.00008335399,0.00121075,0.0008747789,0.0004405282,0.00005915578,0.00003497872,0.00003205689,0.003763173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3448445,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04930447190316749,"score_gpt":0.3941980095359481,"score_spread":0.3448935376327806,"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."}}