{"id":"W2775063728","doi":"10.47295/mgren.v6i2.1301","title":"BRASILEIRO EM MONTREAL E A CONSTRUÇÃO DE UM PERFIL “IDEAL” DE IMIGRANTE: POLÍTICAS LINGUÍSTICAS EM TELA","year":2017,"lang":"pt","type":"article","venue":"Miguilim - Revista Eletrônica do Netlli","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideal (ethics); Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335764,0.0003248376,0.0003002377,0.001852375,0.01439864,0.009026659,0.001068287,0.0009687224,0.01589506],"category_scores_gemma":[0.00470751,0.0002367479,0.0002048178,0.003648652,0.0109081,0.003287606,0.003287019,0.001643057,0.0006145513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04334507,"about_ca_system_score_gemma":0.03226278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9297109,"about_ca_topic_score_gemma":0.9619545,"domain_scores_codex":[0.9974427,0.0008107647,0.00004672592,0.0003123225,0.0006181254,0.0007692346],"domain_scores_gemma":[0.9975978,0.0005218625,0.0002775058,0.0001471043,0.0008771181,0.0005786625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006803756,0.00003576807,0.02791352,0.0001325295,0.00002090201,0.0007442378,0.1495365,0.0004316356,0.0006614478,0.7534212,0.02893141,0.03810283],"study_design_scores_gemma":[0.00001862195,0.0000310282,0.08869639,0.0003778394,0.00004164849,0.0002077075,0.2159836,0.0009619172,0.0004070369,0.0238293,0.6693616,0.00008319762],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3425563,0.002524151,0.004282929,0.03786348,0.0002274726,0.0001139913,0.0005996474,0.00009795564,0.6117341],"genre_scores_gemma":[0.9523531,0.0009524405,0.001062621,0.001090593,0.0000284173,0.00003349072,0.000147413,0.00003619691,0.04429583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07028908,"threshold_uncertainty_score":0.314492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04225614276722151,"score_gpt":0.3525757601245959,"score_spread":0.3103196173573744,"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."}}