{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003355764,0.0003960557,0.0003398378,0.0003641199,0.0006936972,0.00111894,0.0003921062,0.0002586144,0.0001829452],"category_scores_gemma":[0.001272614,0.0003898647,0.0001287334,0.001036701,0.0001913516,0.001529148,0.0005000633,0.0005257241,0.00007698615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212448,"about_ca_system_score_gemma":0.001431484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570951,"about_ca_topic_score_gemma":0.0004319464,"domain_scores_codex":[0.9972863,0.0003934008,0.0006392989,0.0006139925,0.0003145684,0.0007524067],"domain_scores_gemma":[0.9984169,0.0004932358,0.0003975238,0.0003011565,0.0003397684,0.00005141667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008462481,0.0008221914,0.5713868,0.006209655,0.000253423,0.0002018723,0.03328983,0.002445397,0.006593222,0.1947516,0.1291205,0.05484096],"study_design_scores_gemma":[0.0006674898,0.00008946113,0.2174089,0.009411952,0.0005321086,0.000277934,0.01564216,0.02591023,0.00193194,0.03705534,0.6900653,0.001007207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968149,0.005521955,0.001619511,0.08400337,0.001883992,0.0008157089,0.0000451905,0.0002232014,0.009072154],"genre_scores_gemma":[0.9873178,0.003721313,0.001312564,0.003102306,0.001872045,0.0001426804,0.0002015347,0.0000657155,0.002264034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5609448,"threshold_uncertainty_score":0.999918,"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."}}