{"id":"W7161958378","doi":"10.82308/15440","title":"Job accessibility and labour market outcomes among immigrants in Montreal and Toronto","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Human capital; Ile de france","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":[0.000535547,0.0004177787,0.0003715926,0.001172007,0.002717807,0.001789777,0.0008557633,0.0005124188,0.005018563],"category_scores_gemma":[0.002281036,0.0002790103,0.0005882123,0.002625922,0.001101694,0.0005009116,0.001436492,0.000650769,0.0003825223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01910174,"about_ca_system_score_gemma":0.01656786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990019,"about_ca_topic_score_gemma":0.9958283,"domain_scores_codex":[0.9994925,0.0000515642,0.00002667687,0.00007225692,0.0001250537,0.0002318468],"domain_scores_gemma":[0.9985946,0.00008298194,0.0003089104,0.00004942797,0.0004235794,0.0005405846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000145844,0.00004560465,0.9866355,0.00006099284,0.00007270255,0.0001973913,0.00550554,0.0001765523,0.0002744909,0.0003011682,0.001573054,0.005011281],"study_design_scores_gemma":[0.000004465539,0.00002473578,0.9929249,0.00004059618,0.00001923826,0.00001760941,0.005866525,0.0001072449,0.00003328629,0.00001918004,0.00092859,0.00001369184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958422,0.0005453237,0.00003878125,0.000264951,0.00001239586,0.00002267825,0.001379878,0.000005050906,0.001888894],"genre_scores_gemma":[0.9961622,0.0004161638,0.00005970178,0.00006085678,0.000007637209,0.00002082548,0.0007783533,0.000004117718,0.002490271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01910174,"threshold_uncertainty_score":0.1385934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0088853127349694,"score_gpt":0.3077019703390021,"score_spread":0.2988166576040327,"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."}}