{"id":"W4244798478","doi":"10.1787/9789264193505-6-en","title":"Taking stock of the evidence – from data use to health system improvement","year":2013,"lang":"en","type":"book-chapter","venue":"OECD health policy studies","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Business; Geography; Archaeology","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002979111,0.0008859033,0.003118456,0.0004447976,0.002962701,0.00002636043,0.002137236,0.0004936649,0.0003172366],"category_scores_gemma":[0.00145808,0.0006171574,0.0002474544,0.0001586956,0.0002164873,0.0003662298,0.00573982,0.001944199,0.0009741217],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009599891,"about_ca_system_score_gemma":0.01966497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1929423,"about_ca_topic_score_gemma":0.03692595,"domain_scores_codex":[0.990683,0.0009626801,0.003758599,0.001388869,0.001236539,0.001970372],"domain_scores_gemma":[0.9840176,0.00403258,0.005735339,0.004698477,0.0007020184,0.0008139633],"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":[0.00005908165,0.000019476,0.00192298,0.01607141,0.0004636004,0.000001905412,0.01134227,0.000001514019,0.000003496933,0.02556773,0.9078215,0.03672502],"study_design_scores_gemma":[0.0006302282,0.0005966711,0.01727331,0.02274225,0.0001171436,0.000001377566,0.00296102,0.000009697947,0.000001577151,0.0009211921,0.9541277,0.0006178638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008606534,0.08113899,0.0001257637,0.8090957,0.009919764,0.02311013,0.01224626,0.0005476708,0.06295507],"genre_scores_gemma":[0.008345857,0.05578141,0.002699273,0.5302897,0.007837717,0.001279044,0.0003735142,0.0004722621,0.3929212],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3299661,"threshold_uncertainty_score":0.9998037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5063688055883353,"score_gpt":0.5577128592115407,"score_spread":0.05134405362320538,"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."}}