{"id":"W4387058249","doi":"10.33137/twpl.v45i1.41689","title":"Nominal linkers in Gilaki","year":2023,"lang":"en","type":"article","venue":"Toronto Working Papers in Linguistics","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Attributive; Noun phrase; Possessive; Head (geology); Variety (cybernetics); Specifier; Linguistics; Complement (music); Phrase; Noun; Computer science; Natural language processing; Nominalization; Genitive case; Artificial intelligence; Mathematics; Philosophy; Biology","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":[0.0003790238,0.0001700533,0.0002115656,0.0001249334,0.0001411753,0.00009467144,0.0001822296,0.00008221362,0.0008235439],"category_scores_gemma":[0.001457371,0.0001744082,0.00005630893,0.00008569845,0.0001156589,0.00001355706,0.00006195076,0.0002162573,0.00008313709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307507,"about_ca_system_score_gemma":0.00004520043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005635149,"about_ca_topic_score_gemma":0.08986258,"domain_scores_codex":[0.9986994,0.00003634115,0.0003609563,0.0002650548,0.0001979226,0.0004402888],"domain_scores_gemma":[0.9994282,0.0001748128,0.00007527792,0.0002040817,0.00006026664,0.00005732303],"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":[0.00007326476,0.0001212547,0.01281598,0.00007700311,0.00002778002,0.0004212947,0.09447052,0.001077143,0.00002719922,0.874676,0.002879635,0.01333291],"study_design_scores_gemma":[0.0004581176,0.00004213387,0.003118278,0.0002272133,0.00001407524,5.523957e-7,0.008192551,0.004250227,0.000002455661,0.001209771,0.9821733,0.0003113327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01228242,0.0005700506,0.000002678469,0.00004193469,0.006759055,0.0001541731,0.00001106923,0.0001921016,0.9799865],"genre_scores_gemma":[0.9877874,0.00007432575,0.0003305547,0.0001307899,0.005248967,0.00001508701,0.00003789001,0.00003309196,0.006341853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9792936,"threshold_uncertainty_score":0.9267451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856765090228822,"score_gpt":0.2556205723239094,"score_spread":0.2270529214216212,"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."}}