{"id":"W2952803378","doi":"10.1111/cogs.12736","title":"Effects of Case and Transitivity on Processing Dependencies: Evidence From Niuean","year":2019,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Ergative case; Transitive relation; Object (grammar); Oblique case; Subject (documents); Computer science; Parsing; Argument (complex analysis); Linguistics; Verb; Artificial intelligence; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001046628,0.0002163666,0.0002497054,0.000480547,0.0006629049,0.00092541,0.0003536514,0.0003914816,0.003051472],"category_scores_gemma":[0.005425822,0.0004260659,0.000129193,0.0004431914,0.001593244,0.00126713,0.001410939,0.0005786576,0.0002803948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425769,"about_ca_system_score_gemma":0.0004025929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248264,"about_ca_topic_score_gemma":0.02775204,"domain_scores_codex":[0.9994494,0.0001652886,0.0000410939,0.0001836859,0.00009903531,0.00006149324],"domain_scores_gemma":[0.9965503,0.002221018,0.0003497209,0.0004005032,0.0003514306,0.0001270226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002303713,0.0003187943,0.2708949,0.0005774127,0.0002117179,0.002586035,0.08465919,0.001259953,0.5557739,0.009061879,0.000523854,0.07182857],"study_design_scores_gemma":[0.00008363864,0.000380664,0.9233372,0.00004492858,0.0001009903,0.002608926,0.01612935,0.004155047,0.03602009,0.009018805,0.00799613,0.0001241872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971845,0.00002343423,0.0004409703,0.00003370236,9.175643e-7,0.000003573912,0.00002859472,0.000005888386,0.002278431],"genre_scores_gemma":[0.9983023,0.00003702185,0.0009262582,0.00003747323,0.000001251979,0.000007212316,0.00005825666,0.000015347,0.0006146295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248264,"threshold_uncertainty_score":0.02481997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203923420788519,"score_gpt":0.2681309549926368,"score_spread":0.2360917207847516,"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."}}