{"id":"W7165843257","doi":"10.53437/km4ka977","title":"Clausal embedding under TO in Japanese as speech acts","year":2022,"lang":"","type":"article","venue":"","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Embedding; Complementizer; Semantics (computer science); Syntax; Conjunction (astronomy)","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":[0.001167855,0.0004722965,0.000381162,0.001281716,0.001687144,0.002818396,0.0006441005,0.0006676103,0.002895319],"category_scores_gemma":[0.001870346,0.0003484458,0.0004207274,0.001210778,0.003859312,0.003480082,0.001958315,0.0009130364,0.0002191222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625868,"about_ca_system_score_gemma":0.001178816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146719,"about_ca_topic_score_gemma":0.01437725,"domain_scores_codex":[0.9990448,0.0003518975,0.00009446901,0.0001895449,0.0001815701,0.0001376058],"domain_scores_gemma":[0.9991139,0.0002459077,0.0001714046,0.0001555456,0.0002519686,0.00006127739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004372486,0.00001240612,0.001260789,0.00007757861,0.00001515422,0.0004038661,0.0145609,0.0008495029,0.005770532,0.9680982,0.0006885855,0.008218787],"study_design_scores_gemma":[0.00008370543,0.0002097502,0.02493447,0.0002795667,0.0003900738,0.001581003,0.02203794,0.03764051,0.02405704,0.794734,0.09377567,0.0002762389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.721454,0.001234337,0.1333945,0.002160355,0.0002204264,0.00008876759,0.000369659,0.0004957494,0.1405822],"genre_scores_gemma":[0.9913887,0.0001413718,0.005678655,0.00008294017,0.00003542349,0.00001654815,0.00008436319,0.00006651679,0.002505369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146719,"threshold_uncertainty_score":0.02917296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662222281004938,"score_gpt":0.2910736020722288,"score_spread":0.2544513792621794,"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."}}