{"id":"W44518730","doi":"","title":"Pharmacoeconomics: From Theory to Practice","year":2010,"lang":"en","type":"article","venue":"PubMed Central","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacoeconomics; Reimbursement; Health economics; Cost-effectiveness analysis; Medicine; Management science; Decision analysis; Cost effectiveness; Health care; Risk analysis (engineering); Economics; Intensive care medicine; Nursing; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01836508,0.0002202762,0.0006502214,0.0002050505,0.0001576518,0.0001843081,0.0005011696,0.0001595596,0.002902595],"category_scores_gemma":[0.01214052,0.0002966944,0.0001306702,0.0001263608,0.00005913154,0.0009402331,0.00008540026,0.000433112,0.008449874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005744087,"about_ca_system_score_gemma":0.0001766687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020289,"about_ca_topic_score_gemma":0.0003672242,"domain_scores_codex":[0.9950537,0.0002778871,0.002435691,0.0007207168,0.00007453762,0.001437435],"domain_scores_gemma":[0.995055,0.002032108,0.001131218,0.000647644,0.00004034209,0.001093748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002172926,0.000403543,0.08466163,0.00006926469,0.0004059778,0.000007426856,0.007373964,0.0002647702,0.00009774075,0.6840038,0.2049069,0.01758775],"study_design_scores_gemma":[0.0006654597,0.00001312159,0.0965751,0.000005363294,0.00001309341,0.000004845367,0.0005094386,0.0004009394,0.0000758583,0.02624327,0.8751394,0.0003541567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7743868,0.0009411962,0.02007965,0.149568,0.01943707,0.00221944,0.001404951,0.0002366714,0.03172622],"genre_scores_gemma":[0.7577554,0.0001297847,0.04952374,0.1794233,0.008625577,0.001049902,0.0001414269,0.0001382817,0.003212613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6702325,"threshold_uncertainty_score":0.9999485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640956457361387,"score_gpt":0.4058467254916514,"score_spread":0.2417510797555127,"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."}}