{"id":"W4412933877","doi":"10.1109/ethics65148.2025.11098285","title":"Impact Evaluation of AI-Language Access Models for Indigenous Language Communities in the City of Los Angeles","year":2025,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Indigenous; Indigenous language; Computer science; Linguistics; Natural language processing; Artificial intelligence","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":[0.01872676,0.001286781,0.0006686928,0.001473389,0.001256796,0.004323235,0.002159005,0.00139709,0.005076659],"category_scores_gemma":[0.0493945,0.0003939408,0.00088891,0.001072927,0.001524099,0.003544544,0.002898019,0.001537433,0.0005562741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009848545,"about_ca_system_score_gemma":0.005749416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250189,"about_ca_topic_score_gemma":0.06591737,"domain_scores_codex":[0.9888903,0.008158317,0.000424565,0.0007562423,0.001182154,0.000588335],"domain_scores_gemma":[0.9553747,0.03386738,0.00135465,0.002011486,0.005356268,0.002035645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01543267,0.01513775,0.07689821,0.001843237,0.001105079,0.0005005106,0.004317225,0.6403965,0.005967605,0.02175296,0.008881151,0.2077671],"study_design_scores_gemma":[0.0009972344,0.007815132,0.01304361,0.0001735644,0.0005500402,0.00005668332,0.003679423,0.958568,0.004966141,0.005183528,0.004858129,0.0001084573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803018,0.0001938548,0.00666874,0.0007169089,0.00004672618,0.0008179431,0.0003983919,0.0007595167,0.01009614],"genre_scores_gemma":[0.9853373,0.0001332078,0.01139964,0.0001312818,0.00001191667,0.0005502219,0.0005324478,0.00005142824,0.001852587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250189,"threshold_uncertainty_score":0.2485824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609873410532026,"score_gpt":0.4168855618725331,"score_spread":0.3558982208193305,"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."}}