{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003770082,0.00004487577,0.000123634,0.00002118156,0.0004797422,0.00001137032,0.0002794416,0.00005512927,0.002501476],"category_scores_gemma":[0.00001518409,0.00004697881,0.00005004536,0.00005829714,0.0001651121,0.00034177,0.00001729982,0.00006090099,0.000006037896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592877,"about_ca_system_score_gemma":0.0002686292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947968,"about_ca_topic_score_gemma":0.9999093,"domain_scores_codex":[0.9993735,0.00006972517,0.00007183002,0.00009395671,0.0002246071,0.0001663616],"domain_scores_gemma":[0.999628,0.00002992627,0.0001044321,0.0001200199,0.00006119517,0.00005642201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001078928,0.0001269144,0.2708445,0.00001524934,0.00001592051,0.000003570582,0.6725399,0.000005527314,0.0001449534,0.03382725,0.003006527,0.01936183],"study_design_scores_gemma":[0.000176444,0.00004832865,0.9118412,0.00001181763,0.000006358256,5.41209e-8,0.08269265,0.000007664891,0.000004663233,0.000522543,0.004645701,0.00004256991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895269,0.0003532141,0.00002145222,0.00308658,0.00007580347,0.0001246289,0.000001257858,0.00001009674,0.1068001],"genre_scores_gemma":[0.9823838,0.001285619,0.000116672,0.00002125618,0.00001383578,3.180043e-8,7.762249e-7,0.000001127981,0.01617685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6409968,"threshold_uncertainty_score":0.9984103,"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."}}