{"id":"W2262152051","doi":"","title":"From Best Evidence to Best Practice - A RISQy Business","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Medicine; Government (linguistics); Medical prescription; Health care; Business; Best practice; Chronic care; Disease management; Payment; Family medicine; Nursing; Finance; Primary care; Alternative medicine; Health management system; Economic growth; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2366184,0.002477458,0.004746522,0.01110044,0.004670358,0.0478109,0.00931681,0.03284774,0.02317087],"category_scores_gemma":[0.4624824,0.002771872,0.002362836,0.007880407,0.03929811,0.04749966,0.02866247,0.0426642,0.01684017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02035101,"about_ca_system_score_gemma":0.05575129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004148016,"about_ca_topic_score_gemma":0.003535799,"domain_scores_codex":[0.7271881,0.1355876,0.0245475,0.01407377,0.09395174,0.004651206],"domain_scores_gemma":[0.518418,0.3205936,0.0190085,0.04227438,0.07173102,0.02797448],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003477508,0.0005439807,0.001283071,0.007232498,0.0005399477,0.0005899156,0.002039375,0.002046411,0.0005158092,0.3630388,0.2764499,0.3453724],"study_design_scores_gemma":[0.0003774074,0.0002527257,0.0007443168,0.03167342,0.0001453311,0.0003796119,0.002331729,0.002292757,0.0003868394,0.6466673,0.3146321,0.0001164251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001130022,0.03631976,0.03527273,0.863494,0.01289703,0.0009539078,0.000248445,0.0004411151,0.04924313],"genre_scores_gemma":[0.1381497,0.09500904,0.3123839,0.4023789,0.02256346,0.003821418,0.0007231204,0.001161991,0.02380848],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7633816,"threshold_uncertainty_score":0.9413854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760421639522265,"score_gpt":0.4598371319528897,"score_spread":0.402232915557667,"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."}}