{"id":"W4403382871","doi":"","title":"Des environnements bienveillants pour promouvoir la santé","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; HEC Montréal","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008135898,0.0005633708,0.000566906,0.001641831,0.001501789,0.005094085,0.0006715636,0.003357496,0.01259535],"category_scores_gemma":[0.03084016,0.0004003213,0.0009373994,0.002018736,0.001394501,0.003165275,0.001649544,0.005048019,0.001439813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004954749,"about_ca_system_score_gemma":0.01971421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04959473,"about_ca_topic_score_gemma":0.05144756,"domain_scores_codex":[0.988048,0.006881047,0.0007022815,0.0005024058,0.002583785,0.001282518],"domain_scores_gemma":[0.9873926,0.005759253,0.001913632,0.0005800605,0.002152306,0.002202127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001714921,0.001256808,0.1517918,0.002829721,0.0006640448,0.001939103,0.006789624,0.006074464,0.005818591,0.1951379,0.1308512,0.4951318],"study_design_scores_gemma":[0.0002253096,0.0009395973,0.1942477,0.004739636,0.000285413,0.001388269,0.008607007,0.002434034,0.003398561,0.0414551,0.7421385,0.0001408695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1677744,0.08384119,0.009717626,0.6146696,0.01079385,0.0002575579,0.006174096,0.0003044993,0.1064672],"genre_scores_gemma":[0.7935432,0.07448909,0.02374085,0.04477203,0.006429343,0.0006461554,0.003624343,0.0001580268,0.05259686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04959473,"threshold_uncertainty_score":0.09861213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534585119516031,"score_gpt":0.2589755529894186,"score_spread":0.2436297017942583,"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."}}