{"id":"W2107964785","doi":"10.1002/bimj.201400244","title":"Optimal individualized dosing strategies: A pharmacologic approach to developing dynamic treatment regimens for continuous‐valued treatments","year":2015,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Dosing; Pharmacodynamics; Medicine; Warfarin; Intensive care medicine; Clinical study design; Clinical trial; Pharmacokinetics; Computer science; Pharmacology; Internal medicine","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":[0.01185607,0.001210114,0.002615933,0.001467291,0.0004402213,0.002108504,0.002291342,0.001562493,0.005075927],"category_scores_gemma":[0.04428805,0.001281285,0.001330395,0.001298416,0.001611835,0.002785219,0.001551952,0.003451981,0.0004992689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012437,"about_ca_system_score_gemma":0.004295748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566174,"about_ca_topic_score_gemma":0.002001141,"domain_scores_codex":[0.992292,0.005841185,0.0003204471,0.0005842241,0.0008039469,0.0001582934],"domain_scores_gemma":[0.9825278,0.01410318,0.001510565,0.0009393884,0.0006455706,0.0002734185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003222386,0.0002905788,0.001234747,0.0003357308,0.000303401,0.00009012217,0.0001831042,0.7282396,0.001367717,0.1740432,0.001988329,0.09160132],"study_design_scores_gemma":[0.0001435341,0.0002715026,0.000266696,0.00009143986,0.000078433,0.00003924765,0.0000308766,0.8954147,0.0004827859,0.1005228,0.002626697,0.00003131816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004032251,0.0003651182,0.9928064,0.0007566775,0.00004594603,0.0002227717,0.00004776847,0.00009552633,0.001627471],"genre_scores_gemma":[0.240473,0.001067431,0.7545046,0.0007430766,0.0001585086,0.001317737,0.0001097099,0.00009520572,0.001530731],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01185607,"threshold_uncertainty_score":0.06270158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7096372808610444,"score_gpt":0.6014963020028388,"score_spread":0.1081409788582056,"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."}}