{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001981004,0.00001312577,0.00005218368,0.0000342268,0.007366813,0.0107981,0.0001178368,0.00004992351,0.008954843],"category_scores_gemma":[0.0001129542,0.00003303464,0.00001003485,0.0005403801,0.0002446877,0.0002023753,0.00003043549,0.0001258866,0.00000944527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153431,"about_ca_system_score_gemma":0.0006353126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993768,"about_ca_topic_score_gemma":0.9999992,"domain_scores_codex":[0.9996661,0.00003293785,0.00005226958,0.00009359667,0.00005551698,0.00009960154],"domain_scores_gemma":[0.9998029,0.00002747698,0.0000134875,0.00005174422,0.00002409208,0.00008031544],"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":[4.057149e-7,0.00001598915,0.001025679,5.600436e-7,0.000001230547,0.000004545723,0.0005948087,1.13241e-7,0.000007257249,0.0001113855,0.9961859,0.002052116],"study_design_scores_gemma":[0.0001246348,0.000004356664,0.01057983,0.000003504232,0.000001982474,0.000004085055,0.000924358,0.000002980793,9.170844e-8,0.0009355102,0.9873749,0.0000437483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05311849,0.00002536032,0.000001042081,0.0007521283,0.0005570195,0.000248512,0.00003832482,0.00001302586,0.9452461],"genre_scores_gemma":[0.0158732,0.00009123758,0.00008632746,0.00007689204,0.00005892951,0.00003245513,6.442042e-7,0.000002890033,0.9837774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03853133,"threshold_uncertainty_score":0.9939255,"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."}}