{"id":"W2159547279","doi":"10.1017/s0266462301105015","title":"ANALYZING DIFFERENCES IN THE COSTS OF TREATMENT ACROSS CENTERS WITHIN ECONOMIC EVALUATIONS","year":2001,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Generalizability theory; Clinical trial; Variation (astronomy); Medicine; Payment; External validity; Multicenter study; Economic evaluation; Cost–benefit analysis; Clinical Practice; Resource (disambiguation); Psychology; Family medicine; Randomized controlled trial; Business; Computer science; Political science; Finance; Social psychology; Surgery","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":[0.3050205,0.001581978,0.004699166,0.00688103,0.001233926,0.004906339,0.003316575,0.002273185,0.00322711],"category_scores_gemma":[0.5500927,0.0009256304,0.006176141,0.01001344,0.003722701,0.005049631,0.005031053,0.003201092,0.0002560445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00798094,"about_ca_system_score_gemma":0.005105854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004093165,"about_ca_topic_score_gemma":0.002743777,"domain_scores_codex":[0.5473508,0.3835669,0.03071535,0.01229599,0.02215968,0.003911219],"domain_scores_gemma":[0.2594821,0.6322128,0.07028845,0.02080609,0.01496681,0.002243724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04099022,0.004894494,0.5631484,0.004573864,0.04842157,0.0005252132,0.00216674,0.1363374,0.0009480376,0.02725979,0.003253577,0.1674806],"study_design_scores_gemma":[0.00720477,0.02655507,0.7017716,0.002375275,0.01859679,0.0007756987,0.002184707,0.177591,0.005944128,0.04806041,0.008210849,0.0007297898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.896437,0.007256078,0.073924,0.001531151,0.0004064736,0.00963272,0.00315758,0.0001149679,0.007539944],"genre_scores_gemma":[0.9667594,0.0006040407,0.02424419,0.0002556599,0.0001531015,0.005725327,0.00180463,0.00003623563,0.000417375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3050205,"threshold_uncertainty_score":0.8570334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2076347063741639,"score_gpt":0.5179459644078994,"score_spread":0.3103112580337355,"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."}}