{"id":"W2000424920","doi":"10.1258/095148403321591410","title":"Tools of the trade: a comparative analysis of approaches to priority setting in healthcare","year":2003,"lang":"en","type":"article","venue":"Health Services Management Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Health Services Research Foundation; University of Calgary","keywords":"Equity (law); Set (abstract data type); Process (computing); Core (optical fiber); Margin (machine learning); Health care; Quality (philosophy); Economic evaluation; Business; Economics; Management science; Public economics; Computer science; Microeconomics; Political science; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.04660965,0.0001446747,0.00126903,0.001569621,0.0002340037,0.00004636188,0.0006247106,0.00007591072,0.00005497418],"category_scores_gemma":[0.0002324732,0.0001494901,0.0001414136,0.003985326,0.00007174746,0.0002203697,0.0001832465,0.0003221574,0.00004111315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007514,"about_ca_system_score_gemma":0.0002182563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009214965,"about_ca_topic_score_gemma":0.01285707,"domain_scores_codex":[0.9921085,0.002503164,0.003701936,0.0006019958,0.0003811834,0.000703259],"domain_scores_gemma":[0.9963895,0.0009250399,0.001548856,0.0008675649,0.00006860471,0.0002004036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002155235,0.0002264841,0.4872249,0.008068734,0.0002797647,2.911968e-7,0.0189964,0.002565797,2.91034e-7,0.4818382,0.0004150785,0.000362545],"study_design_scores_gemma":[0.0004520217,0.0001051448,0.9589851,0.0003469903,0.00001359565,1.705352e-7,0.02107575,0.005833971,0.000008372659,0.004527476,0.008506421,0.0001449241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610167,0.002658123,0.0002572222,0.1218021,0.0001517363,0.004869436,0.0002602937,0.00001735721,0.008967052],"genre_scores_gemma":[0.9932503,0.0001132171,0.002253993,0.00403389,0.00001826704,0.0001971023,0.00002033187,0.00001052846,0.0001023807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4773107,"threshold_uncertainty_score":0.9973828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7636658928117125,"score_gpt":0.5421320546174556,"score_spread":0.2215338381942569,"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."}}