{"id":"W3209991159","doi":"","title":"Le financement des entreprises appartenant à des immigrants au Canada","year":2018,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Immigration; Humanities; Philosophy","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":[0.000648618,0.0002353036,0.0002234136,0.001686788,0.002311996,0.001590737,0.0003994129,0.0002683905,0.002744411],"category_scores_gemma":[0.002406337,0.0001310148,0.000228962,0.00456336,0.0007319601,0.000344575,0.0007253212,0.0005117806,0.000176027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01435256,"about_ca_system_score_gemma":0.02113786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863396,"about_ca_topic_score_gemma":0.993302,"domain_scores_codex":[0.9994479,0.00006116549,0.00002707,0.00004598281,0.0001990128,0.0002189625],"domain_scores_gemma":[0.9984364,0.0001923835,0.0003926237,0.00003965192,0.0006674332,0.0002713756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001395178,0.00004253443,0.9366027,0.0001105643,0.00006432959,0.0006485339,0.02283997,0.0001974315,0.0005764408,0.002013335,0.002209862,0.03455483],"study_design_scores_gemma":[0.00000415508,0.00002299724,0.9752465,0.00009662081,0.00002097434,0.0000987032,0.01649117,0.0001204276,0.0001584979,0.0000672246,0.007659046,0.00001389069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951379,0.0007358434,0.00005633912,0.0003834256,0.000006914511,0.000007011748,0.0009123001,0.000001802035,0.002758644],"genre_scores_gemma":[0.9911792,0.002110853,0.0001865019,0.00008863222,0.000007922844,0.00000983467,0.0007637924,0.000002739639,0.005650493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435256,"threshold_uncertainty_score":0.1041356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201080284182598,"score_gpt":0.3757779704210773,"score_spread":0.2556699420028176,"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."}}