{"id":"W252734660","doi":"","title":"Canada's 150th Anniversary Multiculturalism and Diversity: Vehicles for Sustainable Socio-Economic Progress/150e Anniversaire Du Canada: Multiculturalisme et Diversite: Vehicules De Progres Socioeconomique Durable","year":2006,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiculturalism; Citizenship; Politics; Political science; Diversity (politics); Economic growth; Sociology; Development economics; Political economy; Law; Economics","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":[0.00237468,0.0005501591,0.0005226855,0.001799999,0.01380376,0.01012697,0.001999034,0.003663979,0.0435741],"category_scores_gemma":[0.003200467,0.0003149952,0.0006610353,0.001985329,0.004588226,0.002439566,0.004684923,0.004493173,0.003777979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09145574,"about_ca_system_score_gemma":0.2924291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900532,"about_ca_topic_score_gemma":0.9935128,"domain_scores_codex":[0.9963278,0.000160106,0.00005019865,0.0001178837,0.001770429,0.001573588],"domain_scores_gemma":[0.9936643,0.0001619479,0.0001144115,0.0001170097,0.0030776,0.002864854],"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":[0.00001655778,0.00003260434,0.002388616,0.000182099,0.000009871952,0.00009703125,0.0009101189,0.0001987835,0.0001950133,0.02806556,0.9274272,0.04047655],"study_design_scores_gemma":[0.000004349653,0.000008247778,0.005991892,0.0002735538,0.000005942091,0.00002776438,0.002661159,0.0001390379,0.00009213165,0.002614133,0.9881534,0.00002848678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01214638,0.04263458,0.00116669,0.5278666,0.01900632,0.0002091266,0.008241628,0.0003559371,0.3883727],"genre_scores_gemma":[0.2340644,0.06819336,0.005741933,0.08263712,0.003976047,0.0002289251,0.007964271,0.0003811893,0.5968128],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09145574,"threshold_uncertainty_score":0.6635609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312142967795045,"score_gpt":0.2913945537644421,"score_spread":0.2582731240864917,"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."}}