{"id":"W2147083890","doi":"10.1186/1478-4505-7-s1-s3","title":"SUPPORT Tools for evidence-informed health Policymaking (STP) 3: Setting priorities for supporting evidence-informed policymaking","year":2009,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Direktoratet for Utviklingssamarbeid; Alliance for Health Policy and Systems Research; European Commission","keywords":"Timeline; Health services research; Public relations; Health policy; Evidence-based practice; Health administration; Health informatics; Set (abstract data type); Purchasing; Business; Medicine; Political science; Public health; Nursing; Marketing; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07197322,0.0006453798,0.001720721,0.002451144,0.01152875,0.0008260164,0.001037424,0.000466212,0.00004573054],"category_scores_gemma":[0.1730534,0.0006025619,0.0002468744,0.002306307,0.0004068219,0.003458737,0.0003468475,0.001633734,0.0000653084],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007026728,"about_ca_system_score_gemma":0.08058392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086171,"about_ca_topic_score_gemma":0.003219938,"domain_scores_codex":[0.975353,0.004883505,0.006248042,0.001280558,0.002693022,0.00954187],"domain_scores_gemma":[0.9054203,0.08380117,0.003499754,0.001177675,0.002740779,0.00336035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008257945,0.00006010971,0.007158689,0.06200397,0.00006543244,0.000005624424,0.2249442,0.0000332501,0.0001883278,0.1865473,0.2961445,0.2220227],"study_design_scores_gemma":[0.004816869,0.007103009,0.02087914,0.02677243,0.00001783878,0.0001083482,0.1130192,0.004388361,0.0000383461,0.003688761,0.8179629,0.001204727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07351045,0.003666309,0.009211933,0.8372856,0.002333685,0.06356609,0.001957458,0.0010466,0.007421894],"genre_scores_gemma":[0.8648712,0.003403343,0.00459882,0.1089188,0.008042175,0.006259257,0.00007972048,0.0001294383,0.00369719],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7913607,"threshold_uncertainty_score":0.9996426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9013019619445023,"score_gpt":0.7663337968357937,"score_spread":0.1349681651087086,"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."}}