{"id":"W4243162544","doi":"10.1002/9781118358733.wbsyncom076","title":"The Accusative Plus Infinitive Construction in English","year":2017,"lang":"en","type":"other","venue":"The Wiley Blackwell Companion to Syntax, Second Edition","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Infinitive; Raising (metalworking); Linguistics; Syntax; Generative grammar; Computer science; Object (grammar); Semantics (computer science); Minimalist program; Natural language processing; Artificial intelligence; Programming language; Philosophy; Mathematics; Verb","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008622006,0.0005645592,0.0006106251,0.0003859517,0.001202594,0.0008641989,0.0008280234,0.0002906579,0.009213283],"category_scores_gemma":[0.0009782851,0.0004075278,0.00016159,0.00007765326,0.0009264384,0.0002363348,0.000186328,0.0007438104,0.001146871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829062,"about_ca_system_score_gemma":0.0001780812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620896,"about_ca_topic_score_gemma":0.05008063,"domain_scores_codex":[0.9973017,0.0004181317,0.0006122164,0.0005999872,0.0005284938,0.0005394608],"domain_scores_gemma":[0.9965864,0.0007388068,0.001148533,0.0009908569,0.0004218777,0.000113551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001020623,0.00004539475,0.00001656698,0.00008686,0.0001919693,0.000007103949,0.05194423,0.00002652716,0.000006512424,0.2088495,0.7360566,0.002666664],"study_design_scores_gemma":[0.0007637568,0.00009265601,0.0001541108,0.001495063,0.0001187081,0.000006657601,0.01500211,0.0002663188,0.00006609999,0.04867737,0.9327262,0.0006309333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00111872,0.0004258846,0.0004332891,0.004633253,0.03263589,0.002300538,0.001165088,0.0004670696,0.9568202],"genre_scores_gemma":[0.375625,0.003000244,0.0004965874,0.001636107,0.1094707,0.000945206,0.002208434,0.001423011,0.5051948],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4516255,"threshold_uncertainty_score":0.9998376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477333459875324,"score_gpt":0.2451515557886563,"score_spread":0.2203782211899031,"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."}}