{"id":"W2365558024","doi":"","title":"A KNN Text Classification Algorithm Based on Fuzzy Theory","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Fuzzy logic; Text categorization; Categorization; Algorithm; Fuzzy set; Artificial intelligence; Set (abstract data type); Enhanced Data Rates for GSM Evolution; Data mining; Data set; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002092133,0.0002394673,0.0001622258,0.0002288367,0.0003432969,0.00009887587,0.001385957,0.00009326053,0.00002695843],"category_scores_gemma":[9.187378e-7,0.0002391799,0.0001168408,0.0008014737,0.00008676291,0.0002523949,0.0001733042,0.0002017819,0.0004754493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008374496,"about_ca_system_score_gemma":0.00008004809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004168624,"about_ca_topic_score_gemma":4.126706e-7,"domain_scores_codex":[0.9983053,0.00006572785,0.0003573074,0.0007504062,0.0002232816,0.0002979345],"domain_scores_gemma":[0.9982982,0.0001644351,0.0001755327,0.001040018,0.0001856178,0.0001362496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002030181,0.0002282741,0.000008439523,0.000003118533,0.000005647784,5.888309e-7,0.00007996897,0.00008414245,0.0003908298,0.5258232,0.00065811,0.4727157],"study_design_scores_gemma":[0.0003641441,0.0001077823,0.002925761,0.00002138147,0.00001336027,0.00001871711,0.00001617001,0.2520871,0.004673116,0.4782849,0.2609703,0.000517226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002417587,0.0000218418,0.981146,0.0007336346,0.00001937883,0.0009342481,0.00001697431,0.0008755869,0.01622819],"genre_scores_gemma":[0.03747949,0.000006358911,0.9577224,0.002337335,0.0001131059,0.002071402,0.00004928275,0.00002623118,0.0001943565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4721985,"threshold_uncertainty_score":0.9753473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280773994559129,"score_gpt":0.264333175557076,"score_spread":0.2362557761011631,"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."}}