{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007941736,0.00005204905,0.00009019236,0.00005823523,0.0001979922,0.000005222774,0.00009396551,0.00002922986,0.000005407385],"category_scores_gemma":[0.002227639,0.0000388579,0.00001452704,0.0003323389,0.0001597456,0.0001065329,0.000004332152,0.00005827239,0.000002137042],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821203,"about_ca_system_score_gemma":0.006014697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991113,"about_ca_topic_score_gemma":0.9999997,"domain_scores_codex":[0.9991616,0.0001461053,0.000172043,0.00009897522,0.0002341041,0.0001871782],"domain_scores_gemma":[0.999292,0.00007627011,0.00006169916,0.0001052724,0.0003567767,0.0001080163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001649646,0.00001168543,0.02094698,0.00001940353,0.00007403355,0.00000362583,0.2751043,0.0002666814,0.00006673454,0.0395697,0.4714766,0.1924437],"study_design_scores_gemma":[0.0001434627,0.0000382363,0.2376411,0.00006886584,0.00001781882,6.676865e-7,0.4115379,0.00008585709,0.0004051352,0.004416375,0.3454515,0.0001931025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906294,0.06399683,0.000003601859,0.02121521,0.002805775,0.0004607969,0.000006132475,0.00001170946,0.005205887],"genre_scores_gemma":[0.9919273,0.004819452,0.00001225357,0.0001034465,0.000168744,0.00002482061,0.000003102944,0.00000321156,0.002937629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2166941,"threshold_uncertainty_score":0.9996203,"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."}}