{"id":"W4400456106","doi":"10.1522/rhe.v8i3.1470","title":"Combler l’écart de compétences entre les nouveaux arrivants et l'industrie : preuves provenant du projet d'innovation de la main-d'œuvre et de l'inclusion","year":2024,"lang":"fr","type":"article","venue":"Revue hybride de l éducation","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.006605323,0.0005575098,0.000514871,0.001486357,0.01038015,0.006378102,0.001664613,0.001350235,0.009051157],"category_scores_gemma":[0.01233008,0.0003227637,0.0004893983,0.001605232,0.004645899,0.002267916,0.006000282,0.002717356,0.0008896484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04096007,"about_ca_system_score_gemma":0.16546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8038725,"about_ca_topic_score_gemma":0.9237159,"domain_scores_codex":[0.9930108,0.001891348,0.0001625319,0.0005611941,0.00240137,0.001972709],"domain_scores_gemma":[0.9874715,0.002606791,0.0006234714,0.0004802361,0.003576244,0.005241795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004062407,0.001390698,0.06458246,0.001217932,0.00009811453,0.0007470046,0.2226114,0.0009045436,0.003349698,0.07175612,0.0171855,0.6157503],"study_design_scores_gemma":[0.0001224438,0.0009725281,0.3204859,0.003587573,0.0001773003,0.0002970012,0.2243031,0.00130975,0.003883248,0.01070638,0.4339921,0.0001627112],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.795782,0.00557142,0.008040415,0.01645737,0.0003378818,0.0008631554,0.0002607873,0.0001290379,0.172558],"genre_scores_gemma":[0.9263197,0.003681464,0.008917645,0.001373853,0.00003916258,0.0003749552,0.0002057948,0.0000443992,0.05904298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8038725,"threshold_uncertainty_score":0.3945651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772085434475132,"score_gpt":0.306892057635744,"score_spread":0.2691712032909927,"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."}}