{"id":"W7016937645","doi":"","title":"Across cultures, across borders Canadian aboriginal and native American literatures","year":2010,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Native american; Indigenous; Ethnic group; Immigration; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001051097,0.0003436174,0.0002428927,0.00005387156,0.0001470553,0.0001711613,0.0002734794,0.0005659711,0.0002377997],"category_scores_gemma":[0.00006127528,0.0002823008,0.00005889071,0.00009586081,0.0004418951,0.00000233811,0.00007612375,0.0005634589,0.00001548527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001643898,"about_ca_system_score_gemma":0.0002033959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1289644,"about_ca_topic_score_gemma":0.730378,"domain_scores_codex":[0.9988222,0.00002900635,0.0001529964,0.0003537665,0.000129112,0.0005128813],"domain_scores_gemma":[0.9991136,0.000005919128,0.0001784016,0.0003729369,0.00006137061,0.0002677446],"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":[0.00002183277,0.00001435174,0.002550896,0.00008476062,0.000188879,0.000009905857,0.0014943,0.000002605799,0.0008978796,0.0003103999,0.9834181,0.01100607],"study_design_scores_gemma":[0.0002089335,0.00008737429,0.0005861555,0.00002302465,0.000007813083,0.0000245676,0.0003343749,0.00001900172,0.0003032078,0.000003799843,0.9980223,0.0003795077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0129178,0.001660856,0.0001533885,0.0004397203,0.0004495499,0.0004142287,0.001682563,0.00009001913,0.9821919],"genre_scores_gemma":[0.01250627,0.0009362622,0.007514953,0.002557715,0.0008751063,0.00002511486,0.001801181,0.0003443295,0.9734391],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6014136,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002012988683222249,"score_gpt":0.3205396823356491,"score_spread":0.3185266936524269,"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."}}