{"id":"W4253846514","doi":"10.1111/imig.12365","title":"Interview with the Honourable Ahmed D. Hussen, Minister of Immigration, Refugees and Citizenship, Canada","year":2017,"lang":"en","type":"article","venue":"International Migration","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Citizenship; Immigration; Political science; Criminology; Gender studies; Sociology; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553627,0.00004522746,0.00006634016,0.00006306333,0.0008770397,0.0004241626,0.0002598432,0.00002665456,0.0001175401],"category_scores_gemma":[0.0001167461,0.00003879869,0.00001938271,0.00003079927,0.0003750639,0.000209674,0.00001830955,0.00005081205,0.000002604607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362577,"about_ca_system_score_gemma":0.000569304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9445438,"about_ca_topic_score_gemma":0.9998109,"domain_scores_codex":[0.9993766,0.0000541938,0.0001170284,0.0000966445,0.00027892,0.00007664257],"domain_scores_gemma":[0.999383,0.00004866883,0.0001901399,0.0001407871,0.0001962394,0.00004114466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008406552,0.00003759877,0.02164033,0.00004814996,0.0002195673,0.00001721618,0.0204276,0.00001245295,0.0005514816,0.09835844,0.8335578,0.02504532],"study_design_scores_gemma":[0.0001135194,0.00001367821,0.04626993,0.00003640136,0.00001239483,0.00000189258,0.001605114,0.00002725237,0.00007577389,0.0003244674,0.9514591,0.0000604544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7086091,0.000403573,0.0001610969,0.2377234,0.0009004567,0.0002534825,0.00006879057,0.00001447194,0.05186557],"genre_scores_gemma":[0.9828754,0.0001153175,0.00003593886,0.000527992,0.000133758,0.00001063549,0.00001081002,0.00000361647,0.01628654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2742663,"threshold_uncertainty_score":0.6745569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342184400359121,"score_gpt":0.2522891962382748,"score_spread":0.2388673522346836,"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."}}