{"id":"W3126981915","doi":"10.1080/01419870.2021.1877319","title":"North of El Norte: Illegalized Mexican migrants in Canada","year":2021,"lang":"en","type":"article","venue":"Ethnic and Racial Studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Ethnology; Political science; Geography; Sociology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000262373,0.00007689367,0.0002825361,0.00002582591,0.0002779915,0.000005986349,0.00006864767,0.00003534007,0.00007655816],"category_scores_gemma":[0.0002893122,0.00007072434,0.00003421967,0.0002760675,0.0002176167,0.00007568343,0.00004217043,0.0000794982,0.000001162767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122009,"about_ca_system_score_gemma":0.0009868715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9302242,"about_ca_topic_score_gemma":0.9999411,"domain_scores_codex":[0.9990962,0.0001235899,0.0002419109,0.0001599556,0.0001735435,0.0002048567],"domain_scores_gemma":[0.9995277,0.0001397977,0.00007658148,0.00006960219,0.0001257942,0.00006050933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000029139,0.00005250719,0.6600661,0.00005811727,0.0001379431,0.00002611149,0.3175269,0.00001351873,0.00001761778,0.002067612,0.00399577,0.01600859],"study_design_scores_gemma":[0.0004232886,0.00001277404,0.8495145,0.00003131258,0.00002343863,4.092044e-7,0.1231515,0.000006883763,0.00008767853,0.0006532042,0.02593414,0.0001609287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97681,0.01623404,0.000002872062,0.001104417,0.0003089511,0.00008926701,0.00001258802,0.000006316525,0.005431486],"genre_scores_gemma":[0.985725,0.01297765,0.00002116771,0.0001764546,0.0001298936,0.000008137102,0.000002907068,0.00000318623,0.0009555344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943755,"threshold_uncertainty_score":0.2884055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04966485295692489,"score_gpt":0.3410171809559641,"score_spread":0.2913523279990392,"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."}}