{"id":"W1919998569","doi":"10.14288/bcs.v0i49.1089","title":"Race and Class in British Columbia","year":2010,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Race (biology); Class (philosophy); Gender studies; Sociology; Computer science; Artificial intelligence","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":[0.0008810746,0.0002122085,0.0004801821,0.003250203,0.01110267,0.002879502,0.001626903,0.0006581352,0.009615489],"category_scores_gemma":[0.003466086,0.0002894662,0.000288585,0.007095699,0.00171081,0.0009216579,0.002049373,0.001638997,0.0006465178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04401579,"about_ca_system_score_gemma":0.04639459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977837,"about_ca_topic_score_gemma":0.999424,"domain_scores_codex":[0.9988888,0.0001227605,0.00003617659,0.0001097691,0.0002221355,0.0006203693],"domain_scores_gemma":[0.9964785,0.000344925,0.0002865087,0.00009838842,0.001382056,0.001409729],"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":[0.0002888911,0.0002317505,0.8649848,0.00008505873,0.00006716479,0.0005945466,0.05535424,0.0002544364,0.000288925,0.005986391,0.02158429,0.05027958],"study_design_scores_gemma":[0.00000990859,0.00001984446,0.9202523,0.0001479216,0.00002644025,0.00005379591,0.06117233,0.0001908326,0.00009233034,0.0004246625,0.01757739,0.0000321252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780027,0.0008844424,0.00004364739,0.001632658,0.00004620594,0.00002155434,0.00159563,0.000008108061,0.01776507],"genre_scores_gemma":[0.983206,0.0006544146,0.00006370049,0.000221743,0.000009166622,0.00001845265,0.0005586527,0.00001083142,0.01525709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04401579,"threshold_uncertainty_score":0.3193585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008349609085531583,"score_gpt":0.2363687436932299,"score_spread":0.2280191346076983,"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."}}