{"id":"W2773077833","doi":"10.3917/riges.424.0096","title":"L’amélioration continue pour construire l’organisation apprenante","year":2017,"lang":"fr","type":"article","venue":"Gestion","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists; HEC Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01783463,0.0009465939,0.0006446734,0.001648279,0.006329539,0.01434944,0.002225086,0.004582587,0.01147994],"category_scores_gemma":[0.02596629,0.0004960225,0.001020835,0.001143221,0.006687024,0.01324165,0.009006156,0.005000286,0.005341125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005801102,"about_ca_system_score_gemma":0.01509288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006464932,"about_ca_topic_score_gemma":0.012045,"domain_scores_codex":[0.9797596,0.01016649,0.001040025,0.001830539,0.005189023,0.002014276],"domain_scores_gemma":[0.9576632,0.009207816,0.005382192,0.00773053,0.01266686,0.007349306],"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":[0.00026194,0.0008588208,0.0270623,0.00183909,0.0002187393,0.001367992,0.1532868,0.001705501,0.01460032,0.2201152,0.04966056,0.5290228],"study_design_scores_gemma":[0.00004331526,0.0004882845,0.01894037,0.001452715,0.00009138919,0.001150256,0.05115315,0.001384328,0.0026704,0.07161975,0.8508748,0.0001312713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2106474,0.02113647,0.1919813,0.1644568,0.004103077,0.0006192887,0.0002395729,0.002866477,0.4039496],"genre_scores_gemma":[0.7943119,0.007051979,0.09437419,0.007751098,0.001287245,0.0006098426,0.0002849106,0.0004017734,0.09392702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01783463,"threshold_uncertainty_score":0.09431958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422841317675334,"score_gpt":0.2898095506383778,"score_spread":0.2655811374616244,"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."}}