{"id":"W2901294447","doi":"10.1177/0117196818810096","title":"Development of Bangladeshi immigrant entrepreneurship in Canada","year":2018,"lang":"en","type":"article","venue":"Asian and Pacific migration journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Immigration; Entrepreneurship; Settlement (finance); Context (archaeology); Immigration policy; Economic growth; Quarter (Canadian coin); Demographic economics; Political science; Development economics; Sociology; Business; Economics; Geography; Law","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":[0.0006645151,0.00006651689,0.0001114677,0.00008486808,0.0003372574,0.00005006469,0.00008424503,0.00003896626,0.0004968322],"category_scores_gemma":[0.00004883298,0.00006239193,0.00002050744,0.0001466501,0.00008594322,0.0001618061,0.000006016087,0.00009605602,0.000005979539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533324,"about_ca_system_score_gemma":0.001564846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3126796,"about_ca_topic_score_gemma":0.9972095,"domain_scores_codex":[0.9990377,0.0001230186,0.0003529715,0.0001087677,0.0001927026,0.0001848046],"domain_scores_gemma":[0.9995375,0.00002895482,0.0001487193,0.00006058583,0.00008518214,0.0001390883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002909786,0.00003457208,0.4247862,0.0000112529,0.00001902894,0.000005672631,0.5188997,0.000001889573,0.0003284237,0.001312191,0.009128614,0.04544328],"study_design_scores_gemma":[0.0005173871,0.00004598373,0.3656074,0.00007964654,0.000009326433,0.00002082755,0.2940237,0.00007094532,0.001894699,0.0009369435,0.3365377,0.0002554229],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833109,0.0001002047,0.0002111674,0.002383066,0.0002725685,0.00007905324,0.000002258917,0.000004208363,0.01363658],"genre_scores_gemma":[0.9984367,0.0002002537,0.0005967565,0.00004426775,0.0002056854,0.000001913445,0.000002972303,0.000003142032,0.0005082476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6845299,"threshold_uncertainty_score":0.6918973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901265215648614,"score_gpt":0.2449481644776571,"score_spread":0.2259355123211709,"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."}}