{"id":"W1567354125","doi":"10.3233/ida-140658","title":"Interactive document clustering with feature supervision through reweighting1","year":2014,"lang":"en","type":"article","venue":"Intelligent Data Analysis","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cluster analysis; Computer science; Feature (linguistics); Set (abstract data type); Feature selection; Data mining; Ask price; Information retrieval; Artificial intelligence; Machine learning; Pattern recognition (psychology)","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":[0.001774407,0.001384536,0.001583693,0.002753884,0.001112786,0.001550264,0.002838284,0.001345678,0.005740079],"category_scores_gemma":[0.005384294,0.0005993696,0.001237073,0.003441252,0.0008018115,0.001848933,0.002226921,0.001394192,0.004423703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688198,"about_ca_system_score_gemma":0.001052873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007188525,"about_ca_topic_score_gemma":0.01703994,"domain_scores_codex":[0.9981539,0.0003418122,0.0001301488,0.0006071109,0.0006153019,0.0001517831],"domain_scores_gemma":[0.997018,0.000916306,0.0002009197,0.0009869592,0.0007579903,0.0001198611],"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":[0.0004194241,0.0002910613,0.00129437,0.0002004174,0.0001793141,0.00008673733,0.0003210593,0.0151667,0.04957822,0.002499973,0.01040683,0.9195559],"study_design_scores_gemma":[0.0001143025,0.0002506088,0.003387925,0.00004065151,0.0001453629,0.0003643292,0.0001726749,0.8679183,0.09291619,0.01034491,0.02423821,0.0001065916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01230782,0.0002435674,0.9760122,0.00008056335,0.00006900359,0.0001822888,0.0003349648,0.009567067,0.001202616],"genre_scores_gemma":[0.08902493,0.0001583989,0.9024267,0.00007934745,0.0001021423,0.0002683064,0.001594248,0.0009634387,0.005382349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007188525,"threshold_uncertainty_score":0.01920247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899920739437957,"score_gpt":0.296214113902025,"score_spread":0.2672149065076454,"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."}}