{"id":"W4304695372","doi":"10.1136/bmjopen-2022-063436","title":"Dose optimisation and scarce resource allocation: two sides of the same coin","year":2022,"lang":"en","type":"review","venue":"BMJ Open","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Scarcity; Medicine; Pandemic; Repurposing; Resource allocation; Coronavirus disease 2019 (COVID-19); Clinical trial; Resource (disambiguation); Health care; Risk analysis (engineering); Disease; Computer science; Economic growth; Microeconomics; Economics","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":[0.02133108,0.001206258,0.005411472,0.002873072,0.0003553944,0.004140689,0.002500704,0.004367513,0.007677095],"category_scores_gemma":[0.04429727,0.0007317017,0.002591222,0.004689944,0.00518235,0.00588569,0.002135847,0.006525042,0.001183393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00371896,"about_ca_system_score_gemma":0.006965075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693743,"about_ca_topic_score_gemma":0.001510105,"domain_scores_codex":[0.9790505,0.01651857,0.001573717,0.0006120932,0.001930768,0.0003143319],"domain_scores_gemma":[0.9495789,0.04553122,0.002712284,0.0007987517,0.00110469,0.0002741316],"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":[0.000623537,0.000103406,0.0002920347,0.08873308,0.002217247,0.0001109486,0.0003062594,0.004510626,0.0001796655,0.2525856,0.02876879,0.6215687],"study_design_scores_gemma":[0.0009837667,0.0003629623,0.001225453,0.1909147,0.002304765,0.0009482354,0.0004151899,0.001668535,0.0003921799,0.3549223,0.4457524,0.0001095857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000145252,0.9858526,0.002086812,0.01009817,0.0004268537,0.00003538375,0.00002838599,0.00001003767,0.001316458],"genre_scores_gemma":[0.008077116,0.9802921,0.00418634,0.005466204,0.001276831,0.0002182076,0.0000305582,0.00002524098,0.0004273629],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02133108,"threshold_uncertainty_score":0.1128109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8255357170646623,"score_gpt":0.6661719584624166,"score_spread":0.1593637586022457,"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."}}