{"id":"W2761045722","doi":"10.1353/ces.2017.0016","title":"Points of Entry: How Canada's Immigration Officers Decide Who Gets In by Vic Satzewich","year":2017,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Luck; Immigration; Bureaucracy; Globe; Narrative; Ethnography; Situated; Phenomenon; Political science; History; Law; Politics; Computer science; Epistemology; Literature; Philosophy","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":[0.0008078156,0.000875421,0.0004591733,0.001423968,0.02350374,0.007443284,0.001379232,0.002130908,0.04970003],"category_scores_gemma":[0.003474702,0.0004336991,0.0002762143,0.00458979,0.005001409,0.003049141,0.002574201,0.004243273,0.006827929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05300745,"about_ca_system_score_gemma":0.08075258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731079,"about_ca_topic_score_gemma":0.989768,"domain_scores_codex":[0.9987413,0.0002009616,0.00002866303,0.0001557924,0.0005316101,0.000341681],"domain_scores_gemma":[0.9979488,0.0002188216,0.00006738088,0.00002987283,0.001030433,0.0007047108],"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":[0.000007964089,0.000006529177,0.0004548737,0.00007710191,0.000001617003,0.0001020316,0.008954609,0.0000459738,0.00003870297,0.004841019,0.9695886,0.01588096],"study_design_scores_gemma":[0.000001936879,0.000003793024,0.002876802,0.0003693612,0.000002708313,0.00004822124,0.02670955,0.00002642074,0.00002711216,0.0004296189,0.9694826,0.00002182845],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01405321,0.1271263,0.0008350107,0.2683738,0.01391352,0.0001906642,0.003334527,0.0002478406,0.5719252],"genre_scores_gemma":[0.161485,0.08994605,0.001186213,0.03488634,0.001718993,0.0001513273,0.002271488,0.0004432913,0.7079113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05300745,"threshold_uncertainty_score":0.3845978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768882846476119,"score_gpt":0.3553481407629938,"score_spread":0.2976593122982326,"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."}}