{"id":"W2061859368","doi":"10.1075/dia.25.2.07ric","title":"On the evolution of activity incorporates in Athabaskan languages","year":2008,"lang":"en","type":"article","venue":"Diachronica","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Suffix; Dependency (UML); Verb; Linguistics; Valence (chemistry); Computer science; Noun; 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":[0.0009574622,0.00022041,0.0002985724,0.001962815,0.003794416,0.003468857,0.0005576892,0.0004259808,0.00337869],"category_scores_gemma":[0.001720553,0.000399748,0.0002669048,0.002147781,0.006149719,0.002323566,0.003423705,0.001271994,0.0003788726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003806642,"about_ca_system_score_gemma":0.001534203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412354,"about_ca_topic_score_gemma":0.03652044,"domain_scores_codex":[0.9987447,0.0004019371,0.00009962939,0.0002317511,0.000274794,0.0002471004],"domain_scores_gemma":[0.9989944,0.0003244155,0.0002029563,0.0001601805,0.0002092158,0.0001088462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002336993,0.0000702797,0.02341075,0.0002008746,0.00002804942,0.003072358,0.1738916,0.001121947,0.02969005,0.687227,0.0005981468,0.08045524],"study_design_scores_gemma":[0.0001136207,0.0006193616,0.284658,0.0006961406,0.0002020846,0.01362894,0.1526336,0.007318259,0.01492258,0.2045789,0.3201026,0.0005259017],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136795,0.0005279518,0.007901964,0.0005316211,0.00002703826,0.00004851279,0.0001250114,0.0001054933,0.1770529],"genre_scores_gemma":[0.9947078,0.0001097901,0.001615764,0.0000229041,0.000004470858,0.00001292625,0.00003157623,0.0000402017,0.003454487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412354,"threshold_uncertainty_score":0.02808267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761402424110769,"score_gpt":0.2380781764725177,"score_spread":0.21046415223141,"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."}}