{"id":"W2074519264","doi":"10.1162/ling.2007.38.1.1","title":"V-Raising and Grammar Competition in Korean: Evidence from Negation and Quantifier Scope","year":2007,"lang":"en","type":"article","venue":"Linguistic Inquiry","topic":"Language Development and Disorders","field":"Psychology","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Raising (metalworking); Negation; Linguistics; Scope (computer science); Verb; Syntax; Quantifier (linguistics); Grammar; Object (grammar); Argument (complex analysis); Computer science; Generative grammar; Psychology; Mathematics; Philosophy; Medicine; Programming language","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":[0.001720143,0.0003928457,0.000440086,0.0006125777,0.0003567844,0.0008946233,0.0003862287,0.000533511,0.002379901],"category_scores_gemma":[0.004678384,0.0004055867,0.0002596584,0.0002445304,0.001635354,0.000874271,0.001345092,0.0005027403,0.0001938054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306048,"about_ca_system_score_gemma":0.0003723252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812701,"about_ca_topic_score_gemma":0.003456346,"domain_scores_codex":[0.999311,0.0001757872,0.00008842367,0.0002028567,0.0001291659,0.00009284721],"domain_scores_gemma":[0.9955734,0.00225469,0.001011778,0.0005122829,0.0003382343,0.0003095937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001724534,0.0006446864,0.5624415,0.0004128343,0.0001945599,0.005084708,0.04882512,0.0002604302,0.3402372,0.005158991,0.0002650207,0.03475024],"study_design_scores_gemma":[0.0001010334,0.0008265833,0.9509277,0.00005195479,0.0001239439,0.007018484,0.0132955,0.0006203275,0.02251776,0.003073615,0.001368892,0.0000741219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993838,0.00005910258,0.0001049567,0.00001625829,0.000001061025,0.000002919425,0.00001358276,0.000001616401,0.0004166148],"genre_scores_gemma":[0.9994679,0.00005367667,0.0002179485,0.00002841924,0.000001335372,0.000006273102,0.00003807796,0.000004913958,0.0001814877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002812701,"threshold_uncertainty_score":0.009097099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440254481344265,"score_gpt":0.3644706590772773,"score_spread":0.2900681142638346,"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."}}