{"id":"W2135718742","doi":"10.1109/icdmw.2007.21","title":"Learning Term Dependency Links Using Information Theoretic Inclusion Measure","year":2007,"lang":"en","type":"article","venue":"","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dependency (UML); Computer science; Dependency graph; Redundancy (engineering); Term (time); Data mining; Feature selection; Support vector machine; Artificial intelligence; Pattern recognition (psychology); Graph; Theoretical computer science","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":[0.0007176698,0.00008407686,0.00006478396,0.0002226151,0.000420192,0.0001606781,0.0006093689,0.000165967,0.00003055627],"category_scores_gemma":[0.0001328783,0.00006816757,0.00003005566,0.0003396474,0.00003715991,0.001601358,0.0008904824,0.0002870504,0.00006684032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006575202,"about_ca_system_score_gemma":0.00003332033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009323212,"about_ca_topic_score_gemma":0.000002998486,"domain_scores_codex":[0.9991006,0.00002148273,0.0002359858,0.000129111,0.0003206071,0.000192197],"domain_scores_gemma":[0.999411,0.00005080587,0.0001188735,0.0002898951,0.00009284821,0.00003659584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003292664,0.00001278347,0.003989582,0.000007646707,0.000002993451,0.000001383168,0.001665551,0.00006088914,0.003922357,0.3618703,0.0000228038,0.6284404],"study_design_scores_gemma":[0.001915449,0.0005481449,0.05103985,0.0001847026,0.00003132233,0.0001099957,0.004192182,0.3638653,0.2405084,0.3192603,0.01669103,0.001653327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07591136,0.00002990449,0.9081402,0.0004670781,0.0001196439,0.00009156216,5.749813e-8,0.0008102529,0.01442991],"genre_scores_gemma":[0.9629219,0.0000092876,0.03678318,0.0001489082,0.0000137398,0.000001508057,0.000001734922,0.000002714294,0.0001170037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8870106,"threshold_uncertainty_score":0.323182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520397171333599,"score_gpt":0.260510980564972,"score_spread":0.245307008851636,"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."}}