{"id":"W4247926066","doi":"10.32920/ryerson.14640159.v1","title":"The Private sector, institutions of higher education, and immigrant settlement in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Devolution (biology); Immigration; Neoliberalism (international relations); Higher education; Public administration; Political science; Service (business); Private sector; Economic growth; Business; Economics; Sociology; Finance; Law; Marketing","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":[0.001472626,0.0002138643,0.0004011826,0.002997383,0.0119315,0.005545774,0.001014556,0.0008037385,0.005359182],"category_scores_gemma":[0.003635619,0.0002065475,0.000255506,0.008861127,0.005199212,0.001157058,0.002973053,0.001254415,0.0001513903],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1128379,"about_ca_system_score_gemma":0.2381757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980262,"about_ca_topic_score_gemma":0.9992581,"domain_scores_codex":[0.9979897,0.0002348011,0.00005474918,0.000108677,0.0005696185,0.001042577],"domain_scores_gemma":[0.9959571,0.0005834642,0.0005542462,0.00006480864,0.001184153,0.001656274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001861036,0.0002596444,0.5038197,0.0005086605,0.00009488259,0.001498374,0.05235464,0.001613375,0.000423215,0.2737835,0.0436803,0.1217775],"study_design_scores_gemma":[0.00003288055,0.00003720174,0.7479182,0.001032946,0.00008364813,0.0002939615,0.1268553,0.001374581,0.0002113128,0.008837331,0.1132446,0.00007805576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8377183,0.01911466,0.0004708174,0.02748269,0.0002073827,0.0000718583,0.001260116,0.0000311431,0.113643],"genre_scores_gemma":[0.980191,0.006893683,0.0002775188,0.0007172672,0.00003159061,0.00001356239,0.0002162574,0.00001025843,0.01164897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8871621,"threshold_uncertainty_score":0.8187003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085855746923319,"score_gpt":0.2973531071109227,"score_spread":0.2664945496416895,"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."}}