{"id":"W7075372654","doi":"","title":"Race, Racialization and Antiracism in Canada and Beyond","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Racialization; Race (biology); Racism; Agency (philosophy); Ethnic group; Government (linguistics); Identity (music)","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":[0.001308823,0.0002151859,0.0005564369,0.002391001,0.01593889,0.004711859,0.001299436,0.0009633633,0.006551475],"category_scores_gemma":[0.003564697,0.0001875632,0.0004579823,0.005463574,0.004839658,0.001430823,0.002073859,0.002083231,0.0001955098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07924996,"about_ca_system_score_gemma":0.1458919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979742,"about_ca_topic_score_gemma":0.999353,"domain_scores_codex":[0.997954,0.000178828,0.00003691588,0.0001664941,0.0004534769,0.001210286],"domain_scores_gemma":[0.9946259,0.0004782045,0.0004607298,0.00009451566,0.001773998,0.002566661],"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":[0.0004807695,0.0004478449,0.6444052,0.0001460262,0.0002139634,0.0004976825,0.05805387,0.001185889,0.0007977541,0.1555403,0.03898508,0.0992456],"study_design_scores_gemma":[0.00002891752,0.00004577902,0.8581138,0.0003276758,0.00009609903,0.00007677335,0.07838843,0.0006143904,0.000201237,0.01045534,0.05155701,0.00009455215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9320928,0.005147208,0.000235047,0.01681371,0.0001874846,0.00002645214,0.001038846,0.00001631629,0.04444211],"genre_scores_gemma":[0.9907052,0.00121518,0.0001196606,0.0007848134,0.00002719294,0.000008056805,0.0001274231,0.000010383,0.007002098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07924996,"threshold_uncertainty_score":0.5750014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336460223243094,"score_gpt":0.1880356830797215,"score_spread":0.1646710808472905,"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."}}