{"id":"W4367723283","doi":"10.37058/jelita.v2i1.6435","title":"Orthographic Nativization of Hispanic Content Words in Waray Visayan","year":2023,"lang":"en","type":"article","venue":"JELITA Journal of Education Language Innovation and Applied Linguistics","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Root (linguistics); Noun; Prefix; Narrative; History; 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":[0.0003841844,0.000240807,0.0001692804,0.0007676383,0.00189265,0.001537192,0.0002433275,0.0001770445,0.003420094],"category_scores_gemma":[0.001240627,0.0001390097,0.00008471913,0.001314585,0.001766016,0.0007954198,0.001257482,0.0004482739,0.0003075134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625184,"about_ca_system_score_gemma":0.0009416612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613911,"about_ca_topic_score_gemma":0.03398872,"domain_scores_codex":[0.9997368,0.0001096838,0.00002145023,0.00005590787,0.00004392823,0.00003217845],"domain_scores_gemma":[0.999506,0.0001695015,0.0001208329,0.00005302608,0.0001222105,0.00002844196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000288933,0.0000827167,0.09340715,0.0005140836,0.00003453516,0.002864129,0.7678266,0.0001264249,0.03736163,0.01303672,0.001339758,0.08311731],"study_design_scores_gemma":[0.000008274768,0.00008892907,0.1887752,0.0001541917,0.00003648413,0.001248137,0.7472899,0.0002404605,0.007185567,0.0009576207,0.05398205,0.00003314535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886342,0.0002306557,0.0001528036,0.0001205079,0.000009878268,0.000007604545,0.00005727928,0.000005678587,0.01078129],"genre_scores_gemma":[0.9971629,0.0002345757,0.0002345798,0.00003394287,0.000005251138,0.00001190044,0.00007361759,0.0000163383,0.002226945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613911,"threshold_uncertainty_score":0.03209037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04244221791330288,"score_gpt":0.2812168885721059,"score_spread":0.238774670658803,"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."}}