{"id":"W4280625667","doi":"10.1080/14737167.2022.2079497","title":"Examining the correlation between treatment effects in clinical trials and economic modeling","year":2022,"lang":"en","type":"article","venue":"Expert Review of Pharmacoeconomics & Outcomes Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Centre for Addiction and Mental Health; University of Toronto; Public Health Ontario","funders":"","keywords":"Correlation; Clinical trial; Medicine; Covariance; Econometrics; Statistics; Intensive care medicine; Mathematics; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1675233,0.001780889,0.003695871,0.003078206,0.0006198546,0.004207782,0.002670181,0.003755551,0.004559039],"category_scores_gemma":[0.3515881,0.001416594,0.00332356,0.004036162,0.005346711,0.004438207,0.002509608,0.004426379,0.0003433069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006517103,"about_ca_system_score_gemma":0.007354743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724254,"about_ca_topic_score_gemma":0.002194933,"domain_scores_codex":[0.8318732,0.1552681,0.003270704,0.003871302,0.004719865,0.0009969276],"domain_scores_gemma":[0.3672383,0.597217,0.02425774,0.006546987,0.00381925,0.0009206844],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003291474,0.0001559167,0.01279093,0.0009521824,0.00127771,0.0002594109,0.0002948046,0.5815102,0.0002316526,0.3698308,0.001308364,0.0310589],"study_design_scores_gemma":[0.0001740559,0.0002870788,0.002586124,0.0004120309,0.0003466784,0.00009801237,0.00006024665,0.6931968,0.000314738,0.3005982,0.001869268,0.00005665568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0362408,0.004534602,0.9478444,0.006283058,0.000206166,0.0008879573,0.0002848498,0.0001277803,0.003590372],"genre_scores_gemma":[0.7600334,0.004747066,0.2282967,0.001470071,0.0003183686,0.002833812,0.0002828433,0.00007406577,0.001943744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8324767,"threshold_uncertainty_score":0.8859584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7645576136209942,"score_gpt":0.7434989822412623,"score_spread":0.02105863137973185,"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."}}