{"id":"W2042910147","doi":"10.1007/s00038-003-2036-4","title":"Pourquoi se préoccupe-t-on tant des données probantes en promotion de la santé?","year":2003,"lang":"fr","type":"article","venue":"Sozial- und Präventivmedizin","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Panacea (medicine); Promotion (chess); Health promotion; Context (archaeology); Public relations; Political science; Order (exchange); Field (mathematics); Politics; Sociology; Business; Medicine; Health care; Alternative medicine; Geography; Law","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":["research_integrity","insufficient_payload"],"category_scores_codex":[0.01727574,0.0007156212,0.0008839652,0.0003281194,0.001650285,0.0002055682,0.0004148729,0.00170484,0.00439546],"category_scores_gemma":[0.01315676,0.0006535866,0.0003068927,0.0007813129,0.0006449408,0.0008547398,0.0001192279,0.003148275,0.001825332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002191,"about_ca_system_score_gemma":0.003210998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600943,"about_ca_topic_score_gemma":0.002166401,"domain_scores_codex":[0.9608188,0.03390004,0.001531302,0.000923122,0.0007940817,0.002032708],"domain_scores_gemma":[0.9861518,0.01085626,0.001000183,0.000745296,0.0003937785,0.0008526635],"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":[0.001159977,0.006447435,0.09654965,0.0381,0.001314758,0.001015891,0.1498692,0.00004093105,0.005370916,0.3433821,0.1220414,0.2347077],"study_design_scores_gemma":[0.001889559,0.001275487,0.01298333,0.01036099,0.0002971485,0.0001448938,0.009136784,0.00008064786,0.00152204,0.04280498,0.9187319,0.000772244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.669567,0.09210192,0.003660749,0.0480832,0.01875103,0.01008888,0.0005738742,0.0007066125,0.1564668],"genre_scores_gemma":[0.9079674,0.01242563,0.01167585,0.00105144,0.004787487,0.0007160828,0.00007213194,0.0002685403,0.06103542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7966905,"threshold_uncertainty_score":0.9996494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571061422944405,"score_gpt":0.5093715853436466,"score_spread":0.352265443049206,"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."}}