{"id":"W2951037914","doi":"10.1080/00393274.2019.1616215","title":"Comparing explanatory principles of complement selection statistically: a case study based on Canadian English","year":2019,"lang":"en","type":"article","venue":"Studia Neophilologica","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Variation (astronomy); Adjective; Negation; Alternation (linguistics); Complement (music); Multivariate statistics; Collinearity; Selection (genetic algorithm); Predicate (mathematical logic); Mathematics; Computer science; Natural language processing; Psychology; Econometrics; Statistics; Artificial intelligence; Noun; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004202411,0.000193302,0.0003705054,0.0002287316,0.0003408459,0.00006212744,0.000141492,0.00003810586,0.00137434],"category_scores_gemma":[0.0004167201,0.0001722535,0.00004748869,0.00006031108,0.00008247356,0.00003719832,0.00004345775,0.0001630769,0.00005725462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817072,"about_ca_system_score_gemma":0.0001800702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1110874,"about_ca_topic_score_gemma":0.466142,"domain_scores_codex":[0.9984622,0.0001630915,0.0004354837,0.0003423096,0.000289451,0.0003074917],"domain_scores_gemma":[0.9986812,0.0003752655,0.000193518,0.0002516015,0.0003893464,0.0001090915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008542911,0.0009004432,0.2686287,0.00006972356,0.0001908133,0.0004186501,0.06715704,0.001359634,0.000005271052,0.6608509,0.0002097229,0.0001237066],"study_design_scores_gemma":[0.009934323,0.01241679,0.3965097,0.0002989951,0.0006352153,0.00006512547,0.4856992,0.0439935,0.00005387565,0.01640766,0.03173124,0.002254346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939441,0.000005459662,0.00004888819,0.000451058,0.001122267,0.001025984,0.00009690117,0.00007994096,0.05772851],"genre_scores_gemma":[0.9989644,6.008893e-7,0.0002924107,0.0001656848,0.0004006176,0.00004651761,0.00003179296,0.000017533,0.00008039809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6444433,"threshold_uncertainty_score":0.9995385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07828357769156175,"score_gpt":0.2676574659511027,"score_spread":0.189373888259541,"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."}}