{"id":"W4402474940","doi":"10.1109/ccece59415.2024.10667295","title":"Large Language Model Translation of Indigenous Languages","year":2024,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Translation (biology); Indigenous; Linguistics; Natural language processing; Machine translation; Artificial intelligence; Philosophy","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":[0.001379801,0.001243283,0.000726564,0.001381194,0.001385209,0.002486294,0.001812333,0.001092893,0.01784717],"category_scores_gemma":[0.004936835,0.0005509789,0.001562671,0.001558128,0.0009394828,0.00292776,0.002865737,0.002237645,0.009345599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725118,"about_ca_system_score_gemma":0.002929598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02596092,"about_ca_topic_score_gemma":0.03940441,"domain_scores_codex":[0.9986192,0.00050386,0.0001234419,0.0003372954,0.0003026196,0.0001136154],"domain_scores_gemma":[0.9982123,0.0008137964,0.00009334018,0.000387307,0.0004253528,0.00006782507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001061735,0.0005266812,0.003771907,0.003227071,0.0005817605,0.003993955,0.003640983,0.1071769,0.02185347,0.1359774,0.2161763,0.5020117],"study_design_scores_gemma":[0.0001570758,0.0001732171,0.001774247,0.0003666954,0.0001485735,0.001026853,0.001167142,0.7167272,0.009399737,0.126052,0.1428953,0.0001120318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03314646,0.002713339,0.846379,0.003136682,0.001101838,0.001020277,0.03818247,0.03727477,0.03704521],"genre_scores_gemma":[0.3813905,0.002099274,0.5002435,0.0009465868,0.0003776716,0.0009634035,0.08776832,0.004432482,0.02177825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02596092,"threshold_uncertainty_score":0.05970478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184613293010374,"score_gpt":0.2999957549146045,"score_spread":0.2881496219845008,"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."}}