{"id":"W2555083626","doi":"10.13140/rg.2.1.4816.2321","title":"THE MANY FACES OF BRAZILIAN IMMIGRANTS IN ONTARIO","year":2009,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Immigration; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0008312826,0.0002982588,0.0002952869,0.0006180053,0.01108195,0.001771788,0.0006297925,0.0008929439,0.004845113],"category_scores_gemma":[0.002278636,0.000257883,0.0001988956,0.001043377,0.002891672,0.0005342229,0.002471681,0.0006102945,0.0003283347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01196725,"about_ca_system_score_gemma":0.0107009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8740534,"about_ca_topic_score_gemma":0.969541,"domain_scores_codex":[0.9992574,0.000169678,0.00002699923,0.00006669998,0.0001990735,0.0002801786],"domain_scores_gemma":[0.9993557,0.00005826144,0.0001391755,0.00002678042,0.0001843862,0.0002356184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001405088,0.00002984513,0.1541654,0.000211188,0.00002190054,0.003332454,0.7875747,0.00004998452,0.0026534,0.004207409,0.01030142,0.03731172],"study_design_scores_gemma":[0.000002975612,0.00002495163,0.08500432,0.000109851,0.0000124971,0.0005588719,0.8866005,0.00003465327,0.00009735013,0.0002278476,0.02730616,0.00002011961],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762077,0.0006562922,0.00007049904,0.00400361,0.00005163637,0.00002360571,0.0001359841,0.000004893155,0.01884584],"genre_scores_gemma":[0.9845264,0.001374823,0.0001737359,0.0008787955,0.00001786333,0.00002053987,0.00006903108,0.000007756425,0.01293117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259466,"threshold_uncertainty_score":0.2533767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828306125444886,"score_gpt":0.2783089848431547,"score_spread":0.2600259235887059,"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."}}