{"id":"W4387058223","doi":"10.33137/twpl.v45i1.41684","title":"Nominal linkers in Tati","year":2023,"lang":"en","type":"article","venue":"Toronto Working Papers in Linguistics","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Attributive; Possessive; Linguistics; Noun; Head (geology); Variety (cybernetics); Noun phrase; Computer science; Focus (optics); Genitive case; Natural language processing; Artificial intelligence; Mathematics; Philosophy; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000226775,0.0001804274,0.0002424567,0.00005833788,0.0002125325,0.0001068793,0.0001714195,0.00005589843,0.0004430299],"category_scores_gemma":[0.001176085,0.0001615916,0.0000553261,0.0000749852,0.0001447182,0.00001110127,0.00007938681,0.000174361,0.00007555518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217248,"about_ca_system_score_gemma":0.00002271447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00371488,"about_ca_topic_score_gemma":0.08211035,"domain_scores_codex":[0.9987891,0.00002535374,0.0003428716,0.0002458355,0.0001846757,0.0004121135],"domain_scores_gemma":[0.9995064,0.0001693013,0.00006840003,0.0001327915,0.00007588251,0.00004721898],"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":[0.00006456785,0.0001018729,0.02189794,0.00008221332,0.00005858685,0.0002772027,0.1609392,0.000618556,0.00001443658,0.7952412,0.005395542,0.01530865],"study_design_scores_gemma":[0.0003767483,0.00003927312,0.003084359,0.0001879192,0.00001406999,3.668644e-7,0.01511524,0.0006868574,0.000001408786,0.001779796,0.9784288,0.0002851411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01222728,0.0007139995,3.93209e-7,0.00007845558,0.004919802,0.0001364352,0.000009362442,0.0001468391,0.9817674],"genre_scores_gemma":[0.9876357,0.0002367393,0.0002054397,0.0001542428,0.003617357,0.00002025876,0.00002052131,0.0000248292,0.008084932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754084,"threshold_uncertainty_score":0.9346387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04638502947676523,"score_gpt":0.2623391565937843,"score_spread":0.215954127117019,"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."}}