{"id":"W2794415592","doi":"10.7202/1043175ar","title":"Insertion professionnelle des immigrants qualifiés en technologies de l’information à Québec : À l’encontre des mythes, témoignages d’immigrants","year":2018,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec en Outaouais","funders":"","keywords":"Humanities; Political science; Art","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":[0.002633016,0.0002838628,0.0003202027,0.002045097,0.01042328,0.007212467,0.001047071,0.001532683,0.01486702],"category_scores_gemma":[0.008559888,0.0002746879,0.0003324908,0.003569342,0.004495993,0.003785814,0.002959077,0.00230492,0.001476016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03514761,"about_ca_system_score_gemma":0.05722748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.95601,"about_ca_topic_score_gemma":0.9652092,"domain_scores_codex":[0.9973316,0.0004109319,0.00009766841,0.0002941384,0.0009107974,0.0009549009],"domain_scores_gemma":[0.990855,0.001500537,0.001029285,0.0002763178,0.004146808,0.002192118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002307541,0.0002737123,0.3320492,0.0004222626,0.00004054991,0.001263648,0.4523644,0.0001652283,0.001669449,0.02988455,0.03689241,0.1447438],"study_design_scores_gemma":[0.00001764027,0.0001039758,0.3001804,0.0009176808,0.00004003793,0.0004290942,0.4741193,0.0004146911,0.000484384,0.001058524,0.2221261,0.0001083145],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138848,0.003857408,0.0008733719,0.02523832,0.0002933889,0.00008419758,0.0009119879,0.00004056924,0.05481588],"genre_scores_gemma":[0.9298475,0.003621642,0.0006054295,0.004338205,0.0000744195,0.00008119922,0.0006003652,0.00003409354,0.06079718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04399002,"threshold_uncertainty_score":0.255015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982803522249002,"score_gpt":0.3363846201365209,"score_spread":0.2965565849140309,"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."}}