{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005146739,0.000352358,0.0004043795,0.001383875,0.004933369,0.002387989,0.0004966169,0.0006269499,0.006859096],"category_scores_gemma":[0.001124147,0.000324132,0.0003606535,0.002339686,0.005330349,0.002210392,0.002521845,0.001509079,0.0007422284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622069,"about_ca_system_score_gemma":0.001130279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005257744,"about_ca_topic_score_gemma":0.0134996,"domain_scores_codex":[0.9994951,0.00008644514,0.00003867098,0.0001327045,0.0001323033,0.0001147488],"domain_scores_gemma":[0.9994967,0.0001534741,0.0001335134,0.0001051774,0.00006799302,0.00004308722],"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":[0.0003290772,0.00005123562,0.0345829,0.0004674681,0.00004940532,0.00430859,0.2011166,0.0008590379,0.02546459,0.6544045,0.003280969,0.07508563],"study_design_scores_gemma":[0.0001115903,0.0004414306,0.09881515,0.0003831935,0.0002082345,0.02212395,0.166946,0.00323446,0.01950259,0.08882794,0.5991483,0.0002571724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440961,0.001359282,0.009262741,0.0006904895,0.0001849629,0.00005704541,0.0002770351,0.0002713166,0.1438011],"genre_scores_gemma":[0.9929163,0.0001982764,0.002110258,0.00004720682,0.00001878732,0.00001806442,0.0001556761,0.00007725778,0.004458078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006859096,"threshold_uncertainty_score":0.02294594,"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."}}