{"id":"W7133008445","doi":"","title":"Interpreting Complement Coercion in Context","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Coercion (linguistics); Complement (music); Verb; Object (grammar); Event (particle physics); Covert; Context (archaeology); Argument (complex analysis)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009118484,0.0006014436,0.0008164328,0.0006036152,0.0004921686,0.0005304706,0.0003625299,0.000276409,0.005083422],"category_scores_gemma":[0.001262114,0.0006993421,0.0002036593,0.0001465432,0.0001093425,0.00009583733,0.0001112389,0.0006723911,0.001662769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004429489,"about_ca_system_score_gemma":0.0001735655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04367977,"about_ca_topic_score_gemma":0.1661697,"domain_scores_codex":[0.9964953,0.0002451156,0.001258874,0.0007470229,0.0005903587,0.0006633418],"domain_scores_gemma":[0.9974205,0.0006886566,0.0008770823,0.0004309081,0.0004827162,0.0001000841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001524423,0.0001241075,0.0005094337,0.0005234222,0.0001142857,0.00003385061,0.7503825,0.00003415992,0.00008282297,0.2433733,0.0006181758,0.004051563],"study_design_scores_gemma":[0.001124312,0.0001957919,0.003130713,0.004280418,0.0002011479,0.000001391376,0.9524291,0.01056352,0.0002250393,0.01554994,0.01138904,0.0009095851],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996553,0.0004646988,0.0003656962,0.01779377,0.02451054,0.002293836,0.000109728,0.0003756602,0.05443072],"genre_scores_gemma":[0.9629326,0.0001149531,0.00008514521,0.0001782686,0.00138604,0.00009335513,0.001677854,0.0001536605,0.03337806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2278233,"threshold_uncertainty_score":0.9995458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05204403803778403,"score_gpt":0.3438263183224369,"score_spread":0.2917822802846529,"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."}}