{"id":"W2542109368","doi":"","title":"Simple event nominalizations","year":2014,"lang":"en","type":"article","venue":"","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Nominalization; Semantics (computer science); Argument (complex analysis); Event (particle physics); Context (archaeology); Simple (philosophy); Meaning (existential); Linguistics; Computer science; Event structure; Nothing; Root (linguistics); Principle of compositionality; Mathematics; Natural language processing; Artificial intelligence; Noun; Epistemology; Philosophy; Programming language; History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001124655,0.00005363677,0.00006527045,0.00003656592,0.000169824,0.00008688475,0.00006087172,0.0000136399,0.00741825],"category_scores_gemma":[0.0002477745,0.00004682528,0.00002827471,0.00001076294,0.00003147428,0.00004338477,0.00001611269,0.00002302582,0.0005530778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001362759,"about_ca_system_score_gemma":0.000009180857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009736604,"about_ca_topic_score_gemma":0.002842535,"domain_scores_codex":[0.9995781,0.00001948921,0.0001353905,0.00009027981,0.00008216607,0.00009461637],"domain_scores_gemma":[0.9996369,0.0000655778,0.0000408884,0.0001316449,0.00009825704,0.00002676824],"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":[7.104499e-7,0.00002060976,0.0002828532,0.000004703984,0.000006102742,1.127108e-7,0.005443142,0.00002535038,0.000006737163,0.9918931,0.001839595,0.0004769741],"study_design_scores_gemma":[0.000181189,0.0000364155,0.001084749,0.000006632073,0.00002986394,5.648989e-7,0.001863788,0.01893055,0.0001016661,0.5084184,0.469202,0.000144226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02991885,0.000007412989,0.1812021,0.01517198,0.002077446,0.0001986669,0.00001355883,0.0002832086,0.7711267],"genre_scores_gemma":[0.9872008,5.357085e-7,0.0003718097,0.0004060612,0.001257621,0.000005212989,0.0000278829,0.000009400624,0.01072068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9572819,"threshold_uncertainty_score":0.9934891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567586997975907,"score_gpt":0.2488281659866618,"score_spread":0.2231522960069028,"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."}}