{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005830525,0.0014271,0.001429566,0.001452576,0.0004595737,0.002196486,0.001291889,0.001301038,0.003690883],"category_scores_gemma":[0.03273268,0.0013412,0.0008586588,0.001103551,0.0005145582,0.001322127,0.001332283,0.00140212,0.001180477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849991,"about_ca_system_score_gemma":0.004106236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464853,"about_ca_topic_score_gemma":0.01239753,"domain_scores_codex":[0.9969047,0.001877762,0.000185801,0.0003498418,0.0005666181,0.0001153669],"domain_scores_gemma":[0.9923999,0.005758794,0.0006583562,0.0002608294,0.0007526311,0.0001695606],"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":[0.0001465381,0.00007575035,0.004209401,0.0001548736,0.0002062113,0.00009500652,0.0001144013,0.8668141,0.0006026403,0.006333841,0.003390739,0.1178567],"study_design_scores_gemma":[0.00007013744,0.00005441335,0.000612903,0.00006595392,0.00004326552,0.00003885544,0.00001762874,0.9842977,0.0003443628,0.0119771,0.002458425,0.00001927189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02003216,0.001313071,0.9691857,0.001707252,0.00005798253,0.0001966078,0.000350159,0.001725038,0.005432098],"genre_scores_gemma":[0.3926263,0.001273132,0.6014283,0.0006453643,0.0001114309,0.0006461015,0.0006536505,0.0005124955,0.002103239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01464853,"threshold_uncertainty_score":0.03083515,"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."}}