{"id":"W2607880332","doi":"","title":"Consideration for Polypharmacy（1）","year":2016,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Polypharmacy; Computer science; Medicine; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0045243,0.0008497395,0.000928008,0.0003092782,0.001009842,0.00008447847,0.0009295936,0.000831265,0.04998941],"category_scores_gemma":[0.004646583,0.0006276247,0.0004985394,0.0003540087,0.001445599,0.001160014,0.0002504427,0.001641288,0.002859601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812194,"about_ca_system_score_gemma":0.001027125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012791,"about_ca_topic_score_gemma":0.000005714631,"domain_scores_codex":[0.9927375,0.001726012,0.001511657,0.001218474,0.0008680293,0.001938314],"domain_scores_gemma":[0.9857203,0.01020096,0.0008443272,0.0004865815,0.0004269545,0.00232081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003024925,0.001099111,0.0003970557,0.0004018136,0.001221041,0.0001826814,0.0009038133,0.000003551964,0.1979957,0.001292296,0.4958251,0.2976529],"study_design_scores_gemma":[0.01780797,0.0002892036,0.00006133687,0.0001810524,0.001617751,0.0001422835,0.0001129784,0.002215244,0.2091237,0.0009139616,0.7668207,0.0007138024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1130653,0.04348221,0.02236438,0.6647893,0.08390876,0.01052186,0.004993868,0.001500114,0.05537422],"genre_scores_gemma":[0.9106793,0.01884122,0.0004398541,0.05144073,0.007228645,0.0006127399,0.00008286174,0.0001311532,0.01054342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.797614,"threshold_uncertainty_score":0.9996175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005217912575252,"score_gpt":0.4950674247431199,"score_spread":0.2945456334855946,"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."}}