{"id":"W2154832449","doi":"10.1378/chest.129.1.182","title":"Addressing Resource Allocation Issues in Recommendations From Clinical Practice Guideline Panels","year":2006,"lang":"en","type":"review","venue":"CHEST Journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transparency (behavior); Arbitrariness; Guideline; Neglect; Medicine; Risk analysis (engineering); Resource allocation; Health care; Quality (philosophy); Resource (disambiguation); Management science; Computer science; Economics; Nursing; Computer security","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":[0.08383045,0.001248275,0.004900192,0.004425757,0.001141313,0.004606689,0.004955998,0.007388365,0.005745006],"category_scores_gemma":[0.2640247,0.001365013,0.002628262,0.006862848,0.001357586,0.003902415,0.002153094,0.01023049,0.002193296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004424253,"about_ca_system_score_gemma":0.01449277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008651974,"about_ca_topic_score_gemma":0.02809527,"domain_scores_codex":[0.9396726,0.04084959,0.007865301,0.001096983,0.009667975,0.0008474063],"domain_scores_gemma":[0.7665444,0.1848281,0.01054036,0.002992936,0.03331181,0.001782453],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002778153,0.000173578,0.003008947,0.02731411,0.001480311,0.0003302225,0.000624933,0.002036286,0.0002607912,0.0109009,0.1959161,0.7576761],"study_design_scores_gemma":[0.002571159,0.0004155481,0.02125267,0.193685,0.00862083,0.001062744,0.001286029,0.005455674,0.001010262,0.07440178,0.6898658,0.0003723342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004443162,0.705054,0.02198318,0.2384519,0.008877147,0.001993165,0.001212639,0.0001812875,0.01780353],"genre_scores_gemma":[0.07503219,0.6317028,0.1707809,0.1023222,0.01012478,0.00394276,0.002586882,0.0001433528,0.003364105],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9161695,"threshold_uncertainty_score":0.4433431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.790375085646677,"score_gpt":0.615472704054309,"score_spread":0.174902381592368,"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."}}