{"id":"W2727946467","doi":"10.3138/cjpe.31151","title":"Comment évaluer les effets des évaluations d’impact sur la santé : le potentiel de l’analyse de contribution","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Charles-Le Moyne; Université de Sherbrooke","funders":"","keywords":"Health impact assessment; Public health; Public policy; Government (linguistics); Political science; Impact assessment; Business; Public health policy; Welfare economics; Environmental planning; Health policy; Public administration; Geography; Economics; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3779578,0.002307448,0.002252199,0.005496128,0.002449248,0.01270225,0.003513283,0.003883966,0.009226009],"category_scores_gemma":[0.6058287,0.0006856043,0.003948277,0.007404875,0.006499378,0.01216475,0.006031709,0.004760253,0.0009624129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02366612,"about_ca_system_score_gemma":0.02986254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07210169,"about_ca_topic_score_gemma":0.05637727,"domain_scores_codex":[0.5567476,0.3471664,0.01571788,0.007066336,0.06896316,0.00433868],"domain_scores_gemma":[0.2354679,0.6474862,0.0179029,0.01660386,0.08027831,0.002260782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00813552,0.001158257,0.09490491,0.02488806,0.008614334,0.0004957604,0.02457895,0.04502415,0.00364271,0.1849506,0.07565724,0.5279495],"study_design_scores_gemma":[0.002819099,0.008218637,0.1673318,0.04065781,0.01350812,0.0007366958,0.03235036,0.08119925,0.03900107,0.2568734,0.3562223,0.001081454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.2370942,0.03478269,0.1578921,0.2857847,0.004937556,0.007762486,0.009355938,0.001443459,0.260947],"genre_scores_gemma":[0.8915346,0.004252115,0.07898637,0.01133721,0.000826091,0.003469059,0.0009387998,0.0004368527,0.008218912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3779578,"threshold_uncertainty_score":0.7670888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900538957094628,"score_gpt":0.3943261797780193,"score_spread":0.3353207902070729,"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."}}