{"id":"W4387058489","doi":"10.33137/twpl.v45i1.41718","title":"Nominal linkers in Sangesari","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; Complement (music); Linguistics; Phrase; Property (philosophy); Computer science; Head (geology); Natural language processing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006125135,0.0003033616,0.0002841585,0.001619552,0.003758915,0.001988835,0.0004244733,0.0005369797,0.006725661],"category_scores_gemma":[0.0009049105,0.0002004476,0.0002157636,0.002813042,0.003372111,0.00198505,0.002411014,0.000971068,0.001087047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483262,"about_ca_system_score_gemma":0.001317378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009596156,"about_ca_topic_score_gemma":0.02937146,"domain_scores_codex":[0.99944,0.0001205084,0.00003713998,0.0001421237,0.0001251144,0.0001351166],"domain_scores_gemma":[0.9996411,0.0001113994,0.00009795566,0.00005900869,0.00006277987,0.00002781303],"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":[0.0003448685,0.0001206748,0.07929009,0.0004680415,0.0000426011,0.006760717,0.2114242,0.0008209185,0.01904655,0.5217402,0.005345118,0.154596],"study_design_scores_gemma":[0.00007631734,0.0002665472,0.1071754,0.0002301507,0.00008779934,0.009738765,0.1201557,0.001309665,0.008069563,0.04522244,0.7075441,0.0001236444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142991,0.00152152,0.004000551,0.0006608401,0.00009563834,0.00004712855,0.0002815483,0.0001802096,0.1789134],"genre_scores_gemma":[0.9907137,0.0003215273,0.001594988,0.00008446485,0.00001459227,0.00001459548,0.0002848134,0.0000531214,0.006918123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009596156,"threshold_uncertainty_score":0.02249962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036833315183832,"score_gpt":0.256994545463527,"score_spread":0.2266262123116886,"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."}}