{"id":"W7001882998","doi":"","title":"Les enjeux et les défis de la gestion stratégique du changement dans les organismes de développement local au Québec : pour une meilleure performance organisationnelle","year":2012,"lang":"fr","type":"dissertation","venue":"Le dépôt institutionnel (Université du Québec à Trois-Rivières)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Pilotage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000989527,0.0008725566,0.0005266303,0.0002817444,0.002323008,0.0001238278,0.0007970601,0.001336696,0.0004842041],"category_scores_gemma":[0.0004381203,0.0009599904,0.0002845328,0.0003447798,0.0006854104,0.0001268761,0.0003192116,0.001079992,0.00006908952],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003836978,"about_ca_system_score_gemma":0.007062419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7604995,"about_ca_topic_score_gemma":0.8847866,"domain_scores_codex":[0.9966078,0.000742445,0.0006666079,0.000663544,0.0004676194,0.0008519369],"domain_scores_gemma":[0.997717,0.0001992984,0.0007003279,0.0005650917,0.0004583307,0.0003599913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005304176,0.001195206,0.5794798,0.001731122,0.0009170588,0.00006093622,0.1749627,0.137568,0.03779535,0.03527664,0.001523378,0.02895938],"study_design_scores_gemma":[0.002899664,0.000586458,0.8093491,0.000600054,0.0006787244,0.0003455494,0.09989726,0.04324253,0.01768851,0.00005264523,0.02304326,0.001616233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6066815,0.0007655915,0.3792976,0.01090428,0.0002289696,0.0003821742,0.00005836108,0.00008717856,0.001594413],"genre_scores_gemma":[0.9853228,0.001670965,0.007363209,0.0002116124,0.0006082365,0.00005245185,0.001877089,0.0001173625,0.002776244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3786413,"threshold_uncertainty_score":0.9999871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004209521853056,"score_gpt":0.229781923075347,"score_spread":0.2197398278568165,"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."}}