{"id":"W2138629976","doi":"10.5539/mas.v4n7p148","title":"Ontology Based Fuzzy Document Clustering Scheme","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Document clustering; Fuzzy clustering; Vector space model; Semantic similarity; Information retrieval; Ontology; Data mining; Clustering high-dimensional data; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442328,0.0005690969,0.001078536,0.003488374,0.002706582,0.002754206,0.002088775,0.001423001,0.005279831],"category_scores_gemma":[0.002593303,0.0002632232,0.001276897,0.004702948,0.0007878352,0.002389566,0.001252832,0.0007854245,0.002541826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003353635,"about_ca_system_score_gemma":0.004035384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407662,"about_ca_topic_score_gemma":0.009799498,"domain_scores_codex":[0.9976992,0.0002446316,0.0002841985,0.000465682,0.001142025,0.0001642197],"domain_scores_gemma":[0.9988855,0.000123883,0.00008285576,0.0001536337,0.0007035173,0.00005067301],"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":[0.0002530524,0.0001632371,0.001445267,0.0007196407,0.0001640413,0.0004041822,0.001013904,0.07018068,0.01932242,0.1935086,0.02492868,0.6878964],"study_design_scores_gemma":[0.0001541691,0.0002002467,0.002410321,0.0002028378,0.0002013304,0.001799701,0.0005863657,0.5610271,0.0306882,0.1212826,0.2812082,0.0002388803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01229498,0.001367127,0.9592092,0.0005444274,0.0002434696,0.0008940662,0.001165244,0.001495604,0.02278583],"genre_scores_gemma":[0.1449259,0.001713368,0.8175724,0.0002152299,0.0001059718,0.0007974672,0.002812932,0.000105792,0.03175092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01407662,"threshold_uncertainty_score":0.02798939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532368662727563,"score_gpt":0.2928456427131748,"score_spread":0.2775219560858991,"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."}}