{"id":"W7008120848","doi":"","title":"Automatic Acquisition of Knowledge About Multiword Predicates","year":2005,"lang":"en","type":"article","venue":"Waseda University Repository (Waseda University)","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Computational linguistics; Phrase; Meaning (existential); Interpretation (philosophy); Natural language; Verb; Computational model; Computational semantics; Natural (archaeology)","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":[],"category_scores_codex":[0.0001836331,0.0003094398,0.000408928,0.0008210653,0.000460978,0.00002297032,0.0006072468,0.0003259191,0.001206514],"category_scores_gemma":[0.00001539898,0.0003753606,0.0003208046,0.0008830969,0.0003635453,0.0005756132,0.0001476603,0.0002847527,0.0002956686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178565,"about_ca_system_score_gemma":0.0001748642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004368602,"about_ca_topic_score_gemma":0.0001031213,"domain_scores_codex":[0.9978659,0.0004947389,0.000298784,0.0006103849,0.0002870774,0.0004431713],"domain_scores_gemma":[0.9982613,0.0001883262,0.0003597308,0.0006410824,0.0002761457,0.0002733808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01201223,0.02715888,0.08650281,0.002793747,0.009006186,0.01974125,0.1110831,0.0006050268,0.2054174,0.2048718,0.08995653,0.230851],"study_design_scores_gemma":[0.03261268,0.002568998,0.1345358,0.00139497,0.005447084,0.0005993323,0.09845366,0.008521294,0.1171731,0.0002010444,0.5939656,0.00452637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080437,0.0003323284,0.001014346,0.000074706,0.000516413,0.0003346005,0.00007938403,0.0003404357,0.189264],"genre_scores_gemma":[0.9616745,0.00003206595,0.0005855012,0.00005189743,0.0002280852,4.886107e-7,0.00008433549,0.00002602149,0.03731707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5040091,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009266598161750092,"score_gpt":0.2231024511522885,"score_spread":0.2138358529905384,"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."}}