{"id":"W3119151590","doi":"10.3917/rfas.204.0103","title":"L’utilisation des connaissances pour informer des politiques publiques : d’une prescription technocratique internationale à la réalité politique des terrains","year":2020,"lang":"fr","type":"article","venue":"Revue française des affaires sociales","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002947959,0.0007851951,0.001057597,0.0003563621,0.003017879,0.0004577299,0.0006515297,0.001597569,0.001023484],"category_scores_gemma":[0.01022392,0.0008271842,0.0004367053,0.0009621218,0.005362949,0.004525611,0.000262666,0.00171667,0.0002190004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382223,"about_ca_system_score_gemma":0.003648582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09515517,"about_ca_topic_score_gemma":0.07394041,"domain_scores_codex":[0.9896289,0.005390643,0.002007311,0.0008334147,0.0005633473,0.00157646],"domain_scores_gemma":[0.9920198,0.003038218,0.001287109,0.0004302638,0.002326069,0.0008985671],"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":[0.0001435218,0.0002660469,0.08830211,0.01594533,0.0002789578,0.00004708449,0.3035216,0.00001036852,0.0005584061,0.49878,0.0120707,0.08007587],"study_design_scores_gemma":[0.0009958263,0.0005039957,0.1173725,0.009888915,0.0001730238,0.00009388969,0.1329762,0.000531428,0.0006337188,0.2248893,0.510906,0.001035232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5820924,0.05822783,0.005451369,0.2729568,0.001218867,0.002901305,0.001099519,0.001113797,0.07493815],"genre_scores_gemma":[0.960417,0.02116151,0.007543986,0.001793568,0.003859316,0.000507128,0.0001863253,0.0001690108,0.004362203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988353,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360323328370741,"score_gpt":0.4189096433878766,"score_spread":0.1828773105508025,"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."}}