{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005014412,0.0001269692,0.0002533108,0.0001194201,0.0006083226,0.00003728962,0.0002957745,0.0001011046,0.00003861486],"category_scores_gemma":[0.001484112,0.0001246726,0.00003866119,0.0001266127,0.0003016859,0.0002865578,0.00001681449,0.0001154942,0.000002969193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240807,"about_ca_system_score_gemma":0.002817967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954045,"about_ca_topic_score_gemma":0.9999964,"domain_scores_codex":[0.9987351,0.0001289424,0.000222101,0.0002174032,0.0003170095,0.0003794751],"domain_scores_gemma":[0.9989429,0.000108137,0.0002111062,0.0002587081,0.0002746109,0.0002045946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001696969,0.0000207588,0.03668542,0.00004439398,0.000160257,0.00001658422,0.08386043,0.000007061808,0.0002316414,0.005198658,0.7632892,0.1104686],"study_design_scores_gemma":[0.0004554973,0.00004768731,0.6940486,0.0001804203,0.00003646529,3.062041e-7,0.07992175,0.0000473653,0.0009824239,0.0006115388,0.2232961,0.000371889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005625,0.0410054,0.00001574869,0.03936436,0.001217735,0.0005902545,0.0001562946,0.0000194974,0.01706824],"genre_scores_gemma":[0.9843861,0.01035819,0.00001981185,0.0004071872,0.0001161857,0.00002138579,0.0000209147,0.000008462704,0.004661688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6573632,"threshold_uncertainty_score":0.5083999,"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."}}