{"id":"W1551393533","doi":"10.2139/ssrn.2492434","title":"Labour Market Progression of Canadian Immigrant Women","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Immigration; Wage; Demographic economics; Labour economics; Census; Wage growth; Economics; Political science; Sociology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0009083049,0.0003545119,0.0002986618,0.00254196,0.004898535,0.002434622,0.001084683,0.001284764,0.008949933],"category_scores_gemma":[0.002995478,0.0002030619,0.0004911494,0.003623742,0.001243996,0.0009130777,0.001562397,0.001114603,0.001003617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02113654,"about_ca_system_score_gemma":0.028174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816939,"about_ca_topic_score_gemma":0.986344,"domain_scores_codex":[0.9991807,0.0000735798,0.00002172573,0.00005505977,0.0001022147,0.0005666879],"domain_scores_gemma":[0.9984239,0.0001299094,0.0001483691,0.00003176285,0.0006861153,0.0005798469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001617931,0.0005426075,0.8269179,0.0001058542,0.00004694797,0.001030392,0.1072593,0.0007151866,0.0009490161,0.004648663,0.006790661,0.04937563],"study_design_scores_gemma":[0.00001891368,0.0001316593,0.9172785,0.00006949018,0.00001469369,0.00007321317,0.07500228,0.0003226077,0.0001142434,0.0002103567,0.006716573,0.00004747694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926122,0.0003571495,0.00001672549,0.0004824136,0.00001370432,0.00002059652,0.0006319715,0.000003977925,0.005861261],"genre_scores_gemma":[0.9917931,0.0003346101,0.0000293541,0.00008022283,0.000005532203,0.00001408762,0.0004325364,0.000003312623,0.007307094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02113654,"threshold_uncertainty_score":0.1533571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004218532532516537,"score_gpt":0.2474860540429434,"score_spread":0.2432675215104268,"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."}}