{"id":"W1009043365","doi":"10.1353/ces.2015.0011","title":"The Production of Irregular Migration in Canada","year":2015,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Economic geography; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001025267,0.0003018041,0.0002989814,0.002533373,0.02016319,0.00559758,0.001522797,0.0006841665,0.007744038],"category_scores_gemma":[0.004083527,0.0002502101,0.0002922041,0.006465253,0.006904325,0.001065532,0.005353365,0.001385279,0.0002848651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1088014,"about_ca_system_score_gemma":0.1415192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960734,"about_ca_topic_score_gemma":0.9980812,"domain_scores_codex":[0.9981911,0.0001757252,0.00004223697,0.0001843881,0.0005420379,0.0008645499],"domain_scores_gemma":[0.9972543,0.0002953369,0.000464328,0.0001455809,0.0008836897,0.000956814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001724122,0.00008985724,0.2855347,0.0003691801,0.00005557315,0.00386616,0.4079731,0.001523614,0.0009087601,0.1134978,0.06078776,0.1252212],"study_design_scores_gemma":[0.00001450089,0.00003909754,0.3563424,0.0004705518,0.00004351708,0.0005765233,0.4056363,0.001509282,0.0004303399,0.006409567,0.2283914,0.0001365235],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778594,0.002099743,0.0008539977,0.01483301,0.0001880864,0.0001043624,0.001608583,0.00006434694,0.1023884],"genre_scores_gemma":[0.9859389,0.001555478,0.000535227,0.0005092936,0.00001815595,0.00001371819,0.0003459557,0.00002848339,0.01105482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1088014,"threshold_uncertainty_score":0.7894128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303368844568009,"score_gpt":0.3615917281696431,"score_spread":0.2312548437128423,"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."}}