{"id":"W2792194291","doi":"","title":"Multi-way classification of semantic relations between pairs of nominals","year":2009,"lang":"en","type":"article","venue":"North American Chapter of the Association for Computational Linguistics","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Linguistics; Information retrieval; Philosophy","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":[0.001758135,0.0005201155,0.0005517682,0.005344762,0.00163048,0.002624678,0.001006853,0.001203629,0.006085287],"category_scores_gemma":[0.007031174,0.0002378225,0.001344668,0.002873498,0.0009417874,0.005089556,0.002098062,0.00124844,0.002186568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008489018,"about_ca_system_score_gemma":0.001083127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103192,"about_ca_topic_score_gemma":0.003911016,"domain_scores_codex":[0.9979677,0.0004602422,0.0002875823,0.0005894295,0.0004979071,0.000197278],"domain_scores_gemma":[0.9942849,0.002488459,0.0006464713,0.0007958736,0.001400126,0.0003840893],"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":[0.004125077,0.000642302,0.1368768,0.001236019,0.0004089263,0.001279859,0.004361672,0.003972313,0.08478189,0.05960399,0.01590038,0.6868107],"study_design_scores_gemma":[0.0002208724,0.001165785,0.2331066,0.0009351146,0.001034435,0.004003925,0.01715405,0.3168921,0.06904742,0.2690659,0.08701351,0.0003604827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7173652,0.002325051,0.241105,0.001283687,0.0006565924,0.0003618425,0.009777943,0.002587453,0.0245372],"genre_scores_gemma":[0.8806752,0.0003311092,0.1062011,0.00007508048,0.00008133153,0.0001422862,0.008176471,0.0001445654,0.00417287],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006085287,"threshold_uncertainty_score":0.02035725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596209898882572,"score_gpt":0.29546025094887,"score_spread":0.2694981519600443,"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."}}