{"id":"W4389527952","doi":"10.18773/austprescr.2023.024","title":"Physical health monitoring for people with schizophrenia","year":2023,"lang":"en","type":"article","venue":"Australian Prescriber","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seqirus; H. Lundbeck A/S; Medical Research Council; National Health and Medical Research Council; Servier; Fondation Brain Canada","keywords":"Schizophrenia (object-oriented programming); Medicine; Psychiatry; Disease; Obesity; Antipsychotic; Multidisciplinary approach; Population; Type 2 diabetes; Diabetes mellitus; Gerontology; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002214564,0.0001550462,0.0004056238,0.00009323272,0.0001641094,0.00001559523,0.0000516504,0.0000533177,0.00001514601],"category_scores_gemma":[0.00002018197,0.0001257765,0.0001131605,0.0003717669,0.00002778815,0.00007637453,0.00002126623,0.0002007163,0.0001530465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435668,"about_ca_system_score_gemma":0.0003748717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005121846,"about_ca_topic_score_gemma":0.00005442834,"domain_scores_codex":[0.9984379,0.00002839278,0.0002119279,0.0003082063,0.0002694822,0.0007440498],"domain_scores_gemma":[0.998885,0.0000608927,0.00005728621,0.0002782527,0.00005282385,0.0006657695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.008407518,0.0009573539,0.270927,0.01021212,0.0002718421,0.0001263259,0.009576562,0.00007809982,0.003528183,0.001523898,0.5993894,0.0950017],"study_design_scores_gemma":[0.009379454,0.003166464,0.8932965,0.0008312847,0.0001539141,0.0001793295,0.001533877,0.0001430617,0.006509584,0.0002544436,0.08410504,0.0004470424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850537,0.00003067459,0.00002372293,0.01205976,0.0004535315,0.001520116,0.00006554244,0.0002691282,0.0005238609],"genre_scores_gemma":[0.9884739,0.00003798369,0.001470277,0.0004966218,0.001123589,0.0002572909,0.0001135574,0.0000458361,0.007980945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6223695,"threshold_uncertainty_score":0.5129015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04921370385931208,"score_gpt":0.3722477580426612,"score_spread":0.3230340541833492,"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."}}