{"id":"W4389139366","doi":"10.1163/22105832-bja10030","title":"Morphological diffusion and the internal subgrouping of Central Totonac","year":2023,"lang":"en","type":"article","venue":"Language Dynamics and Change","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Endangered Languages Documentation Programme","keywords":"Geography; Outlier; Set (abstract data type); Distribution (mathematics); Division (mathematics); Genealogy; History; Linguistics; Computer science; Mathematics; Artificial intelligence; Arithmetic","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008210975,0.0001562882,0.0003261458,0.002522156,0.001835216,0.00208118,0.0005019332,0.0002863475,0.002728498],"category_scores_gemma":[0.00262329,0.0001185562,0.0001253146,0.00286226,0.004230356,0.0009166827,0.002032026,0.0005160831,0.0001478929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436791,"about_ca_system_score_gemma":0.0006904688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199387,"about_ca_topic_score_gemma":0.02841311,"domain_scores_codex":[0.9994687,0.00009575619,0.00003547121,0.0001936493,0.0001001778,0.00010613],"domain_scores_gemma":[0.9986699,0.0003406956,0.0003985173,0.0001613659,0.0002906027,0.0001390398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001107425,0.0001400125,0.4875595,0.0003306367,0.0001228587,0.0026156,0.1531768,0.001575858,0.07843548,0.08416562,0.0008657069,0.1899046],"study_design_scores_gemma":[0.00002845139,0.0001193976,0.9335243,0.00009457937,0.00004695791,0.001212776,0.0382693,0.002165733,0.002464153,0.01241354,0.009611364,0.00004961906],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942085,0.00007806785,0.0002393287,0.00005154703,0.000004359519,0.0000068763,0.0000203358,0.000004124566,0.005386896],"genre_scores_gemma":[0.9996815,0.00001791957,0.000113549,0.000004133361,0.000001534578,0.000002087482,0.00001959818,0.000001925141,0.0001577985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199387,"threshold_uncertainty_score":0.02384812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197863757054845,"score_gpt":0.2931364306325639,"score_spread":0.2711577930620155,"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."}}