{"id":"W2136628894","doi":"10.1177/1757975910393178","title":"Comment les données probantes sont-elles utilisées pour planifier, mettre en œuvre et évaluer la promotion de la santé ? Une compilation mondiale d’études de cas","year":2011,"lang":"fr","type":"article","venue":"Global Health Promotion","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.021238,0.0006359927,0.0007840603,0.0002758987,0.001989033,0.0001164657,0.0005531881,0.001006369,0.0008618095],"category_scores_gemma":[0.001671614,0.0006498893,0.0001581741,0.0009131351,0.0005276233,0.0008653033,0.0002573864,0.001283803,0.0002901614],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005421206,"about_ca_system_score_gemma":0.008249152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02573234,"about_ca_topic_score_gemma":0.01684872,"domain_scores_codex":[0.9653522,0.02822207,0.002091733,0.0009009759,0.0009073052,0.002525769],"domain_scores_gemma":[0.9936606,0.002617099,0.001552096,0.000571798,0.0004405704,0.001157837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003660958,0.004484144,0.1868488,0.01151871,0.0001414757,0.00005811517,0.2413246,0.00009813249,0.0002443547,0.3487257,0.06989038,0.1362995],"study_design_scores_gemma":[0.004020148,0.002537615,0.817261,0.005250619,0.0001680275,0.0002634593,0.03275128,0.006262779,0.0003942486,0.04532332,0.08479418,0.0009732809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4947161,0.001702594,0.04018966,0.4407436,0.00169025,0.008291047,0.003109735,0.0006294774,0.008927578],"genre_scores_gemma":[0.9401453,0.003750828,0.04429159,0.009823134,0.0006236332,0.0005991855,0.0002958139,0.00007776159,0.0003927747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6304123,"threshold_uncertainty_score":0.9995952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3787857896900592,"score_gpt":0.5834640945167158,"score_spread":0.2046783048266566,"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."}}