{"id":"W7116048772","doi":"10.11575/prism/50840","title":"Balancing Immigration Disparities in Canada","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Refugee; Citizenship; Work (physics); Ranking (information retrieval); Capstone; Language proficiency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002395632,0.000254822,0.0006316247,0.004418842,0.01236964,0.00424886,0.001773379,0.0006707736,0.005543413],"category_scores_gemma":[0.01003913,0.0002629293,0.0006861779,0.01244028,0.001995045,0.001182394,0.004315081,0.001603671,0.0002750768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1055191,"about_ca_system_score_gemma":0.2445121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977626,"about_ca_topic_score_gemma":0.9989579,"domain_scores_codex":[0.9958684,0.0002946869,0.0001358426,0.000376443,0.001078653,0.002245951],"domain_scores_gemma":[0.9932702,0.0006379402,0.0007102871,0.0002104368,0.003025346,0.00214576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001743728,0.0001709698,0.7890241,0.0003317157,0.0001896118,0.0006613883,0.02831323,0.0009445177,0.0002075824,0.02645226,0.0616167,0.09191347],"study_design_scores_gemma":[0.00003201361,0.00005698874,0.8835837,0.0008759148,0.0001210062,0.0001485581,0.05270259,0.001191286,0.0001713429,0.002267577,0.05874677,0.0001022751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9097461,0.004543657,0.000505033,0.0208917,0.0003126153,0.0002395604,0.01210319,0.00006296694,0.0515952],"genre_scores_gemma":[0.9842339,0.002952045,0.0006694646,0.003400616,0.00004634529,0.0000891909,0.003321675,0.00002784729,0.005258904],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1055191,"threshold_uncertainty_score":0.7655979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171114762601525,"score_gpt":0.2590576732838394,"score_spread":0.2473465256578241,"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."}}