{"id":"W1982840093","doi":"10.3115/1072228.1072374","title":"Crosslinguistic transfer in automatic verb classification","year":2002,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Verb; Classifier (UML); Machine translation; Modal 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":[],"consensus_categories":[],"category_scores_codex":[0.0001232037,0.00007055316,0.00007753147,0.000103697,0.0000360721,0.0001230017,0.0004941647,0.00004901374,0.000103456],"category_scores_gemma":[0.00008738362,0.00005929295,0.00002017303,0.000365237,0.00002213572,0.0002374726,0.00002964496,0.0001047191,0.00007726126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004365342,"about_ca_system_score_gemma":0.000008819149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001843513,"about_ca_topic_score_gemma":0.00001358687,"domain_scores_codex":[0.9993282,0.00002290219,0.0001620471,0.0002016924,0.0001368496,0.000148341],"domain_scores_gemma":[0.9995971,0.00004174046,0.00001383226,0.0002848089,0.00003395055,0.00002852789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001228328,0.0001808653,0.0007433788,0.00008191056,0.000004331618,0.00005965662,0.002946604,0.000003537447,0.007474631,0.6154726,0.001609135,0.3714221],"study_design_scores_gemma":[0.0002135457,0.00003035344,0.001676486,0.0000500654,0.000001979214,0.00001431195,0.00001109995,0.9576454,0.008828194,0.03072046,0.0006044917,0.0002035803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0109597,0.0007186202,0.9774849,0.0009321764,0.0001054551,0.0001269952,2.508734e-7,0.00121597,0.008455979],"genre_scores_gemma":[0.7679613,0.000004759564,0.2314864,0.0002009808,0.00001275346,0.00001010555,3.186782e-7,0.000003581167,0.0003198493],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9576419,"threshold_uncertainty_score":0.2417896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082254637244029,"score_gpt":0.2767052643928321,"score_spread":0.2458827180203918,"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."}}