{"id":"W2974191131","doi":"","title":"Many Ways to Sound Diné: Linguistic Variation in Navajo","year":2019,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Santa Barbara; Goddard Space Flight Center; University of Toronto; University of Oxford; National Science Foundation; University of Cambridge; McGill University; Queen's University; Louisiana State University","keywords":"Variation (astronomy); Navajo; Linguistics; Speech community; Context (archaeology); Meaning (existential); Sociolinguistics of sign languages; Sociocultural evolution; Sociolinguistics; Sociology; American English; Psychology; Geography; Natural language; Anthropology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005426302,0.0001889301,0.0002510956,0.0002630865,0.0001761401,0.0009362971,0.0004674841,0.0002096149,0.002319125],"category_scores_gemma":[0.003793641,0.0001968944,0.00008504077,0.0006797425,0.00006025311,0.0009632918,0.0001567102,0.0003216599,0.012837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200848,"about_ca_system_score_gemma":0.0002510278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186044,"about_ca_topic_score_gemma":0.00005407194,"domain_scores_codex":[0.9980155,0.0001174355,0.0004341437,0.0004628694,0.0004215142,0.0005485944],"domain_scores_gemma":[0.9988461,0.0003364022,0.0001128476,0.0002937153,0.00007411834,0.0003367977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008967707,0.0001827884,0.2480742,0.00002398973,0.00001801396,0.00004399987,0.002830344,0.00003430625,0.0001119266,0.7465669,0.001129013,0.0008947951],"study_design_scores_gemma":[0.000768467,0.00008728967,0.04713119,0.00005819061,0.00001082672,0.00000234484,0.0002141904,0.0001122007,0.00005244154,0.1837435,0.7673362,0.0004831187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5671422,0.00003541496,0.002908102,0.00207379,0.001658631,0.0008098679,0.0004689667,0.0003958747,0.4245071],"genre_scores_gemma":[0.9926548,0.000004741435,0.001247868,0.001826969,0.0005831797,0.00002129389,0.0001398886,0.00004103569,0.003480211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662072,"threshold_uncertainty_score":0.9985929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070866538704962,"score_gpt":0.2578239715942867,"score_spread":0.237115306207237,"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."}}