{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003315047,0.0000798417,0.0001324852,0.00003091929,0.0002788015,0.00006752072,0.0001828323,0.00006237222,0.0005600354],"category_scores_gemma":[0.00003139533,0.00006354842,0.00002700938,0.0001085131,0.0001224501,0.00005464311,0.0001194042,0.000140056,6.291011e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988574,"about_ca_system_score_gemma":0.01176515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949887,"about_ca_topic_score_gemma":0.9998454,"domain_scores_codex":[0.9991319,0.0001071678,0.0002801462,0.0001787043,0.000156816,0.0001452394],"domain_scores_gemma":[0.9994565,0.00007054335,0.0001124077,0.0001976881,0.0001044007,0.00005847216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005458401,0.000190686,0.5321963,0.0001862612,0.0001325458,0.000001569101,0.06710314,0.0006056572,0.00002274911,0.3612301,0.03501289,0.003312676],"study_design_scores_gemma":[0.00009267163,0.000003232069,0.5331665,0.00008140053,0.00001873193,1.464792e-7,0.02695685,0.00001594757,0.00006698879,0.003816397,0.4355968,0.0001842914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598216,0.002277897,0.00002924258,0.008593568,0.001771447,0.0003921265,0.00002944638,0.000008103098,0.02707652],"genre_scores_gemma":[0.9930394,0.001517861,0.0001222185,0.0003091652,0.0001147817,0.00005946349,0.00003460151,0.000003074016,0.004799425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4005839,"threshold_uncertainty_score":0.9938372,"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."}}