{"id":"W3024866155","doi":"10.1111/imig.12724","title":"Programming for Immigrant Women in Canada: Is Entrepreneurship Neglected?","year":2020,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Entrepreneurship; Immigration; Settlement (finance); Metropolitan area; Economic growth; Empirical evidence; Census; Business; Public relations; Political science; Sociology; Economics; Finance; Medicine; Population; 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":[0.0009657507,0.0001688233,0.0002885115,0.0008180037,0.009133117,0.003087024,0.001207346,0.000785551,0.006732039],"category_scores_gemma":[0.003770239,0.0002127713,0.0002161501,0.002292732,0.002279032,0.0008705893,0.002459963,0.001493548,0.0002753623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03197992,"about_ca_system_score_gemma":0.129327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775324,"about_ca_topic_score_gemma":0.9933718,"domain_scores_codex":[0.9985154,0.0001651459,0.00002705507,0.00006826317,0.0002744845,0.0009496734],"domain_scores_gemma":[0.9954011,0.0002843375,0.000390106,0.00005236887,0.0007130651,0.003158969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002397337,0.0003742104,0.4831492,0.0006979401,0.00004197832,0.004259956,0.1475827,0.0002246705,0.0008633834,0.0129605,0.07525972,0.2743459],"study_design_scores_gemma":[0.000035585,0.0001121721,0.3518426,0.001328892,0.00003979809,0.0007362911,0.545289,0.0003814602,0.0001553683,0.001376649,0.09864654,0.00005564724],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916833,0.0039583,0.0001858766,0.06451698,0.0003383047,0.00009343128,0.0004490016,0.00002624788,0.03874838],"genre_scores_gemma":[0.9822702,0.004442927,0.0002470767,0.005254131,0.00005264516,0.00003307842,0.0001297111,0.00001398466,0.007556221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03197992,"threshold_uncertainty_score":0.2320316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736582449269921,"score_gpt":0.2718010119782094,"score_spread":0.2444351874855102,"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."}}