{"id":"W2420165181","doi":"10.71781/24481","title":"Bénéfices de la diversité culturelle en entreprises : Études de cas dans les entreprises québécoises","year":2006,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002528956,0.0004287691,0.0005622105,0.001654381,0.01878507,0.005529752,0.001371882,0.001415432,0.006622711],"category_scores_gemma":[0.00531937,0.0003373419,0.0003353771,0.002404312,0.007319271,0.00242645,0.003449132,0.002798491,0.0003416455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02804713,"about_ca_system_score_gemma":0.02525782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9130513,"about_ca_topic_score_gemma":0.9674942,"domain_scores_codex":[0.9975272,0.0006401023,0.00005602123,0.0002376969,0.0005872329,0.0009518301],"domain_scores_gemma":[0.9956481,0.0009056451,0.0005982331,0.0001454648,0.001366749,0.001335908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008241268,0.0003109346,0.2145237,0.0001391986,0.00006182888,0.002068395,0.7422652,0.00009601374,0.0006637615,0.01033301,0.004537421,0.02491793],"study_design_scores_gemma":[0.00001254569,0.00005708529,0.2248353,0.0002677761,0.00004501483,0.0004049461,0.7416626,0.0002060765,0.0002293597,0.0008974716,0.03133011,0.00005171884],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864153,0.0007460185,0.0001097309,0.002070933,0.0000424832,0.00002453893,0.00007355554,0.000002623848,0.01051473],"genre_scores_gemma":[0.9932809,0.0006016899,0.00007448678,0.000365665,0.00001021828,0.00002398372,0.00004216204,0.000004541171,0.005596281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08694869,"threshold_uncertainty_score":0.2034971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417671201939022,"score_gpt":0.3118126528717194,"score_spread":0.2776359408523292,"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."}}