{"id":"W4224297368","doi":"10.1016/j.injury.2022.04.014","title":"Economic studies in medical research: ‘Importance, targets, outcome evaluation’","year":2022,"lang":"en","type":"article","venue":"Injury","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economic evaluation; Medicine; Health economics; Health care; Psychological intervention; Cost effectiveness; Quality-adjusted life year; Cost–benefit analysis; Intervention (counseling); Population; Cost-effectiveness analysis; Actuarial science; Public health; Environmental health; Risk analysis (engineering); Nursing; Business; Economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.1131082,0.0001890259,0.001070431,0.001058832,0.0005225999,0.0000426189,0.0006885275,0.0001218247,0.01483663],"category_scores_gemma":[0.01102509,0.0002560783,0.0001235475,0.0004334067,0.0002260988,0.0003817631,0.0004372331,0.0008046547,0.003132123],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004972361,"about_ca_system_score_gemma":0.0007959158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008245907,"about_ca_topic_score_gemma":0.0009195471,"domain_scores_codex":[0.9905475,0.001925783,0.005364363,0.000846426,0.0006017456,0.0007142006],"domain_scores_gemma":[0.9958501,0.001911594,0.001192033,0.0007281246,0.0000924214,0.0002257255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004165941,0.0001876027,0.5218024,0.0001507215,0.0001109133,0.00001607368,0.003956094,0.000825621,5.702675e-7,0.1359444,0.3360098,0.0009541823],"study_design_scores_gemma":[0.002255951,0.0002940622,0.06026409,0.00006855886,0.000008956167,0.00002364055,0.01502485,0.01708672,0.000002978894,0.1867518,0.7174366,0.0007817774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874272,0.02445677,0.0000251908,0.0749184,0.004129277,0.001792397,0.0006727735,0.00008834735,0.01964484],"genre_scores_gemma":[0.985243,0.0003682896,0.0002829218,0.01062436,0.0005978299,0.001559037,0.00006778259,0.00004683303,0.001209962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4615383,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7290326656737192,"score_gpt":0.5942472184105865,"score_spread":0.1347854472631327,"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."}}