{"id":"W2328792348","doi":"10.1007/s12134-014-0369-x","title":"The Private Sector, Institutions of Higher Education, and Immigrant Settlement in Canada","year":2014,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Devolution (biology); Settlement (finance); Immigration; Higher education; Service (business); Public administration; Political science; Selection (genetic algorithm); Private sector; Service provider; Economic growth; Business; Geography; Economics; Finance; Marketing; Law","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":[0.001897714,0.0003576913,0.001038433,0.004022039,0.01536992,0.006957731,0.002797392,0.001565892,0.01104541],"category_scores_gemma":[0.006847782,0.0004728053,0.0007692021,0.0118491,0.003789156,0.001756626,0.005407349,0.002591176,0.000432494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07723038,"about_ca_system_score_gemma":0.1788008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975371,"about_ca_topic_score_gemma":0.9993054,"domain_scores_codex":[0.9970493,0.0002805238,0.0001247423,0.0001762168,0.0005622483,0.001807027],"domain_scores_gemma":[0.9900072,0.001182129,0.001416019,0.000191775,0.003032241,0.004170709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003141726,0.0003377537,0.9292915,0.0001120448,0.0001122991,0.0005539971,0.02501919,0.0006294097,0.0002153297,0.01349495,0.006784019,0.02313536],"study_design_scores_gemma":[0.00004580988,0.00005639712,0.8714008,0.0003749367,0.00007816178,0.000130111,0.1140131,0.0009600562,0.0001190713,0.00114798,0.01160474,0.00006872498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987295,0.001439044,0.00006426036,0.002848816,0.00004000834,0.00002884913,0.0008561155,0.000007302248,0.007420681],"genre_scores_gemma":[0.9945692,0.0007965605,0.00006709897,0.0002064778,0.000009217292,0.00001065428,0.0003254054,0.000007196325,0.004008069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07723038,"threshold_uncertainty_score":0.5603483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312998091824429,"score_gpt":0.3008641402122383,"score_spread":0.287734159293994,"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."}}