{"id":"W2986981536","doi":"10.1007/s40263-019-00682-8","title":"Achieving the Lowest Effective Antipsychotic Dose for Patients with Remitted Psychosis: A Proposed Guided Dose-Reduction Algorithm","year":2019,"lang":"en","type":"review","venue":"CNS Drugs","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Ministry of Science and Technology, Taiwan","keywords":"Discontinuation; Antipsychotic; Schizophrenia (object-oriented programming); Medicine; Psychosis; Psychiatry; Dosing; Psychology; Algorithm; Internal medicine; Computer science","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":[0.001891312,0.001543681,0.003294244,0.002197674,0.000299429,0.001402722,0.002121379,0.001191685,0.002736458],"category_scores_gemma":[0.004177084,0.0004457775,0.003237953,0.0009998588,0.0004498591,0.001125282,0.0006004783,0.003175966,0.0006312486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914058,"about_ca_system_score_gemma":0.002419604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344585,"about_ca_topic_score_gemma":0.005611385,"domain_scores_codex":[0.9989432,0.0003612996,0.0002400638,0.0001955026,0.0002186499,0.00004134906],"domain_scores_gemma":[0.998979,0.0006422767,0.000175349,0.00002168998,0.0001520645,0.00002972732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001148954,0.0004043808,0.002202185,0.01311414,0.001780978,0.0001849361,0.00008930703,0.02294595,0.0009798314,0.008645135,0.01075,0.9377542],"study_design_scores_gemma":[0.01292906,0.007861916,0.0303806,0.07308174,0.03970411,0.009570073,0.0007304315,0.3507405,0.008774759,0.1818131,0.2835252,0.0008885253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01435385,0.8173166,0.1406128,0.01275569,0.0008112891,0.001621944,0.001158679,0.000988316,0.01038089],"genre_scores_gemma":[0.1996278,0.4852428,0.3018475,0.006809272,0.000812038,0.001340646,0.00156557,0.0001309286,0.002623425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003344585,"threshold_uncertainty_score":0.01388752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436261539214933,"score_gpt":0.3570839799217512,"score_spread":0.3227213645296019,"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."}}