{"id":"W7055167520","doi":"","title":"Canadian Immigrant Guidelines on How to Become Productive Members of Society - A Postcolonial Analysis","year":2017,"lang":"en","type":"article","venue":"UEF eRepo (University of Eastern Finland)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Refugee; Government (linguistics); Ethnic group; Agency (philosophy)","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":[0.00009519669,0.00009749718,0.0002277016,0.000142805,0.0001829445,0.00002100779,0.000335561,0.00005685183,0.00007163907],"category_scores_gemma":[0.00002233616,0.0001095548,0.0001831607,0.0001740276,0.00004771612,0.0001070287,0.00004299014,0.00006195278,0.0000218384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007248355,"about_ca_system_score_gemma":0.00005090241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1110324,"about_ca_topic_score_gemma":0.1944085,"domain_scores_codex":[0.999442,0.000008303383,0.00009117801,0.0001824494,0.0001200112,0.000156104],"domain_scores_gemma":[0.9991152,0.00001235396,0.00008985753,0.0004897231,0.0001500512,0.0001428604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006237015,0.000502695,0.5035897,0.0008035953,0.01565714,0.0001917123,0.06267782,0.1365231,0.0313845,0.002411967,0.2259474,0.01968658],"study_design_scores_gemma":[0.003062012,0.0004659455,0.7274024,0.000258561,0.002365684,0.00001007401,0.00995447,0.1651606,0.004721711,0.00030845,0.08477607,0.001513978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897271,0.00001121171,0.001855652,0.006031387,0.00006797044,0.0001925831,0.0002275667,0.00002222783,0.001864244],"genre_scores_gemma":[0.9931968,0.0000070507,0.002394376,0.00003165263,0.00003353819,6.097226e-7,0.00001600872,0.000007702354,0.004312285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238127,"threshold_uncertainty_score":0.8948873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266757055787753,"score_gpt":0.2268799922044241,"score_spread":0.2042124216465466,"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."}}