{"id":"W4244717671","doi":"10.32920/14655918","title":"Lost in translation: increasing engagement between angel investors and immigrant startups in the Canadian entrepreneurial ecosystem","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Immigration; New Ventures; Business; Portfolio; Entrepreneurship; Venture capital; Face (sociological concept); Investment (military); Marketing; Unemployment; Demographic economics; Finance; Economic growth; Economics; Political science; Sociology","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":[0.003574046,0.0004267451,0.0003721309,0.001722406,0.009373792,0.01033308,0.001085031,0.00127098,0.02608003],"category_scores_gemma":[0.02754814,0.0001614291,0.000443169,0.002548603,0.004905858,0.002669827,0.00306667,0.002340972,0.002166606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03379865,"about_ca_system_score_gemma":0.06001662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8672882,"about_ca_topic_score_gemma":0.9276832,"domain_scores_codex":[0.9964854,0.0005173088,0.0001273428,0.0002634983,0.00181274,0.0007937588],"domain_scores_gemma":[0.9808307,0.0041333,0.001739705,0.0008139513,0.008743452,0.003738873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004300014,0.000209357,0.1825515,0.001059663,0.00006288277,0.002211051,0.3496888,0.0004651564,0.001659904,0.04289611,0.2351851,0.1835805],"study_design_scores_gemma":[0.00003417777,0.00008341732,0.2020473,0.001453419,0.00008639132,0.0005508464,0.4929035,0.0005349928,0.001172239,0.00438663,0.2965919,0.0001551742],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5886656,0.003595744,0.001903357,0.1141551,0.006043934,0.000352872,0.004024554,0.0001530611,0.2811058],"genre_scores_gemma":[0.9273806,0.00213426,0.001399354,0.00579432,0.000269096,0.00008514975,0.0007278092,0.0001181671,0.06209131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1327118,"threshold_uncertainty_score":0.2669866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05338658460531054,"score_gpt":0.2437099130959178,"score_spread":0.1903233284906073,"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."}}