{"id":"W768606372","doi":"10.1017/cbo9780511778001.045","title":"English-to-Nahuatl Vocabulary","year":2011,"lang":"en","type":"other","venue":"","topic":"Spanish Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nahuatl; Vocabulary; Linguistics; Computer science; Natural language processing; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006183462,0.0005488257,0.0005104158,0.002626951,0.0009834404,0.00226284,0.0007733735,0.0002809592,0.2419325],"category_scores_gemma":[0.002158997,0.000130945,0.0001428337,0.00304929,0.0003798981,0.002568667,0.001478579,0.000971921,0.1304111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023091,"about_ca_system_score_gemma":0.001659455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007016558,"about_ca_topic_score_gemma":0.008398483,"domain_scores_codex":[0.9995539,0.00009483876,0.00006387183,0.00007284256,0.0001493972,0.00006516228],"domain_scores_gemma":[0.9993023,0.0001447553,0.00004265775,0.00008843318,0.000338373,0.00008353042],"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":[0.0001031733,0.00006556741,0.001220597,0.0007950411,0.000005224277,0.0001171538,0.003044597,0.00005530025,0.002241715,0.05318394,0.795428,0.1437398],"study_design_scores_gemma":[0.000004275453,0.000004831726,0.001075495,0.00008273183,0.000001637322,0.00005058376,0.0005283603,0.00002474479,0.0002350245,0.001168243,0.9968199,0.000004112279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006794304,0.001948044,0.003590937,0.001670911,0.001842308,0.0002131899,0.07022903,0.001691318,0.91202],"genre_scores_gemma":[0.1410582,0.006338075,0.009715292,0.001658798,0.001224957,0.00101353,0.2377947,0.005608111,0.5955883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2419325,"threshold_uncertainty_score":0.8093448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657977148322289,"score_gpt":0.2184474830767988,"score_spread":0.1918677115935759,"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."}}