{"id":"W3203927528","doi":"10.22541/au.162130250.08942848/v1","title":"Using Bayesian Modeling to Optimize Antipsychotic Dosage in Clinical Practice","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Risperidone; Olanzapine; Confidence interval; Schizophrenia (object-oriented programming); Antipsychotic; Medicine; Paliperidone Palmitate; Mean squared error; Pharmacology; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.02139473,0.0005932153,0.00263191,0.0002434432,0.00006081616,0.0003352522,0.0008380327,0.001358415,0.0009042358],"category_scores_gemma":[0.4793088,0.0005705268,0.0006254342,0.0004862064,0.00008995808,0.0001371826,0.001869758,0.003189699,0.00003733119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961995,"about_ca_system_score_gemma":0.000532149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661156,"about_ca_topic_score_gemma":0.00003782272,"domain_scores_codex":[0.9858878,0.005505939,0.005165705,0.00185584,0.0008762617,0.0007084145],"domain_scores_gemma":[0.8907393,0.105381,0.0008074767,0.00205001,0.0005046088,0.0005175986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005401596,0.01419786,0.001224779,0.00584731,0.002981345,0.005464798,0.002709948,0.660585,0.0002281699,0.1927743,0.004284227,0.1043005],"study_design_scores_gemma":[0.0009098941,0.00005320689,0.00001935536,0.001277705,0.0003347985,0.00001696293,0.0003288671,0.5363825,0.00001583364,0.4600793,0.00002838607,0.0005532228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01291577,0.00007046563,0.9712465,0.001269427,0.004644592,0.001545542,0.00002953935,0.0001579442,0.008120254],"genre_scores_gemma":[0.01853118,0.0001509914,0.9783701,0.001785136,0.0008494424,0.00005305856,0.000003752848,0.0001398473,0.0001164307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.457914,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.854550838656159,"score_gpt":0.6956619534737186,"score_spread":0.1588888851824404,"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."}}