{"id":"W4401675045","doi":"10.22190/teme231005017i","title":"TURNING CANADIAN – PROCESSING IMMIGRANT IDENTITIES","year":2024,"lang":"en","type":"article","venue":"TEME","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; 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":[0.003281453,0.0006923751,0.0003055172,0.002422219,0.03674639,0.01381709,0.001185612,0.002284332,0.01475346],"category_scores_gemma":[0.005073686,0.0002635231,0.0003846364,0.003267968,0.02417055,0.004592407,0.00903837,0.003195205,0.001149125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08521811,"about_ca_system_score_gemma":0.09842518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9677209,"about_ca_topic_score_gemma":0.9788296,"domain_scores_codex":[0.9971383,0.0006954043,0.00005377566,0.000277098,0.0007505272,0.001084937],"domain_scores_gemma":[0.9978549,0.0004124556,0.00009370464,0.0001244568,0.001043445,0.0004709634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005802339,0.0000177618,0.002341331,0.00006093663,0.000007329133,0.0007218707,0.4304611,0.0001290735,0.0007111354,0.5133044,0.02634513,0.0258419],"study_design_scores_gemma":[0.000006491787,0.00001135677,0.003151086,0.0001886029,0.00001512602,0.00023469,0.4704629,0.0001729595,0.0005284504,0.0233504,0.5018257,0.00005211109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1866565,0.002175116,0.00341404,0.03340613,0.001243216,0.00006975859,0.0002462815,0.0001019816,0.772687],"genre_scores_gemma":[0.8611035,0.001952652,0.002478356,0.005391089,0.0001807942,0.00003599327,0.0001742994,0.000154469,0.1285288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08521811,"threshold_uncertainty_score":0.6183035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426239075150547,"score_gpt":0.2946307318085697,"score_spread":0.2703683410570643,"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."}}