{"id":"W4313030230","doi":"10.3917/vuib.basti.2015.01.0039","title":"Accompagner le changement dans le champ de la santé","year":2015,"lang":"fr","type":"book-chapter","venue":"Vuibert eBooks","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Political 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":[0.01551428,0.0009870436,0.0007131072,0.001611752,0.003820972,0.01027695,0.001527446,0.01065306,0.02728536],"category_scores_gemma":[0.02653665,0.00057744,0.0007624566,0.001830622,0.009578741,0.01009682,0.003254635,0.01123696,0.004809565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01767346,"about_ca_system_score_gemma":0.02535473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04391501,"about_ca_topic_score_gemma":0.03199002,"domain_scores_codex":[0.9850159,0.009074091,0.0002897334,0.0009780976,0.003656367,0.0009859112],"domain_scores_gemma":[0.9900845,0.007851985,0.0003100821,0.0004475373,0.0008996085,0.0004062645],"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":[0.00001313516,0.00004542312,0.0001174574,0.0001554982,0.000008968404,0.00002771532,0.001834236,0.0004644323,0.0001083728,0.873852,0.06938834,0.05398447],"study_design_scores_gemma":[0.00001807407,0.00002429767,0.0004286106,0.0005447629,0.000008531579,0.00004430409,0.001234886,0.0006010016,0.0001993174,0.2371698,0.7597084,0.0000180547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002608124,0.0279863,0.02499672,0.2683733,0.009648692,0.0001426266,0.000136275,0.0001896254,0.6659183],"genre_scores_gemma":[0.1332821,0.02551534,0.03199968,0.05379124,0.005831105,0.0004956899,0.0001756768,0.0003667279,0.7485424],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04391501,"threshold_uncertainty_score":0.1282305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4463654345554063,"score_gpt":0.5918867472561012,"score_spread":0.145521312700695,"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."}}