{"id":"W2222601546","doi":"","title":"Préparer la relève : neuf études de cas sur l'entreprise au Québec","year":2005,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Art; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.002640075,0.0006340363,0.0005852967,0.003354706,0.008922517,0.0059925,0.001260616,0.001699356,0.01948361],"category_scores_gemma":[0.005790084,0.0003598951,0.0004799082,0.007040783,0.002494572,0.002731093,0.00201235,0.002767284,0.0008461218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06320196,"about_ca_system_score_gemma":0.06227448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910192,"about_ca_topic_score_gemma":0.9961436,"domain_scores_codex":[0.9979799,0.00028723,0.00007901885,0.0001698047,0.0007711676,0.0007128666],"domain_scores_gemma":[0.9942964,0.000569768,0.0003403667,0.0001598065,0.003777556,0.0008560549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002519072,0.0002460816,0.1496903,0.001616985,0.0002531317,0.002527041,0.06578386,0.002081696,0.002475139,0.08123536,0.4047228,0.2891157],"study_design_scores_gemma":[0.00002121322,0.00005414551,0.2525093,0.001179302,0.00006510507,0.0003294944,0.04114586,0.0004096648,0.0006806967,0.001728456,0.7017525,0.0001243672],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.443726,0.09732252,0.003082569,0.1678681,0.002989387,0.000294999,0.01034806,0.0001972219,0.2741711],"genre_scores_gemma":[0.7488984,0.03482724,0.00253743,0.01161999,0.0003103549,0.0001454062,0.004543645,0.0001382787,0.1969793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06320196,"threshold_uncertainty_score":0.4585645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229007592339752,"score_gpt":0.2864240848917636,"score_spread":0.2641340089683661,"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."}}