{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220903,0.0004328016,0.0003835612,0.02012207,0.01051499,0.007102391,0.0009892281,0.0005557519,0.03055802],"category_scores_gemma":[0.005839067,0.0001372018,0.0002498137,0.04142719,0.003995015,0.001966965,0.002260967,0.0007821483,0.001895212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02556926,"about_ca_system_score_gemma":0.06382589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9467208,"about_ca_topic_score_gemma":0.9766069,"domain_scores_codex":[0.9989622,0.00009063648,0.0000602621,0.0001079396,0.0004919324,0.0002870057],"domain_scores_gemma":[0.994414,0.001416833,0.0003641055,0.0001936114,0.002929843,0.0006817352],"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":[0.000144775,0.00005243986,0.02042209,0.002646066,0.00007325588,0.001729098,0.1205077,0.0002721997,0.0009328214,0.1523188,0.3532195,0.3476813],"study_design_scores_gemma":[0.000006839317,0.000005779685,0.04886726,0.002389855,0.00006543051,0.0005576187,0.09185727,0.00005131621,0.0002447067,0.004811896,0.8511041,0.0000379515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08354408,0.08384781,0.0005552272,0.0233529,0.001622193,0.00007591998,0.01410234,0.0001255289,0.792774],"genre_scores_gemma":[0.5529061,0.1680847,0.002475123,0.005593459,0.001262388,0.0001130965,0.009682689,0.0003006263,0.2595819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05327922,"threshold_uncertainty_score":0.1855189,"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."}}