{"id":"W2943921606","doi":"10.1162/ling_a_00342","title":"Null Objects in Korean: Experimental Evidence for the Argument Ellipsis Analysis","year":2019,"lang":"en","type":"article","venue":"Linguistic Inquiry","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Ellipsis (linguistics); Linguistics; Argument (complex analysis); Quantifier (linguistics); Adverb; Pronoun; Verb; Object (grammar); Raising (metalworking); Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005627676,0.0005823394,0.0004085674,0.0004182581,0.0006586058,0.001583639,0.0008489152,0.0008597407,0.00710908],"category_scores_gemma":[0.02355919,0.0006840344,0.0002332339,0.0004060761,0.001864005,0.002927877,0.001675253,0.001045392,0.0008556703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784352,"about_ca_system_score_gemma":0.0003390258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008137806,"about_ca_topic_score_gemma":0.001047568,"domain_scores_codex":[0.9967884,0.001372661,0.0005109509,0.0007033988,0.0004933878,0.0001313139],"domain_scores_gemma":[0.9517279,0.02969099,0.006890766,0.00806106,0.002506566,0.001122729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01110392,0.01156282,0.1728467,0.002601529,0.0005605533,0.002020834,0.07042001,0.0004931853,0.6456426,0.01881576,0.001915779,0.06201633],"study_design_scores_gemma":[0.001972836,0.01368168,0.6408731,0.0004207692,0.001379935,0.004834757,0.04064221,0.005062167,0.2416491,0.0252753,0.02371682,0.00049119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953299,0.0001297077,0.0009373488,0.0001053699,0.00001392169,0.00003549275,0.00009105114,0.00001624726,0.003341111],"genre_scores_gemma":[0.9963195,0.0001421278,0.002297708,0.0001998278,0.000008706023,0.0000617298,0.0001660267,0.00006599672,0.0007383361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00710908,"threshold_uncertainty_score":0.02976233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05239265450870805,"score_gpt":0.3587575137403947,"score_spread":0.3063648592316867,"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."}}