{"id":"W2390137859","doi":"","title":"Research and Implementation of Text Categorization System Based on VSM","year":2001,"lang":"en","type":"article","venue":"Jisuanji yingyong yanjiu","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Categorization; Task (project management); Key (lock); Natural language processing; Text categorization; Artificial intelligence; Vector space model; Information extraction; Feature (linguistics); Space (punctuation); Information retrieval; Linguistics","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":[0.0004065883,0.00009211138,0.0001116851,0.0002653921,0.0002191529,0.00007263425,0.0003056715,0.0000446343,0.000006971678],"category_scores_gemma":[0.00001136798,0.00009023891,0.00002446753,0.0008487309,0.00004863189,0.0002288809,0.00009186504,0.0001095227,0.00001174125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009619694,"about_ca_system_score_gemma":0.00006200735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007513851,"about_ca_topic_score_gemma":0.000007498104,"domain_scores_codex":[0.9987538,0.00005806136,0.0002539603,0.000324951,0.0004095652,0.0001996366],"domain_scores_gemma":[0.9990031,0.0001886681,0.0001146026,0.0003469619,0.0002852173,0.00006143184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009414716,0.00008244281,0.002756963,0.00005244478,0.000005623759,0.000004488681,0.000171721,0.002820421,0.001946389,0.9507016,0.0002470297,0.04120149],"study_design_scores_gemma":[0.00122662,0.0009440225,0.04455501,0.0002011129,0.00001109522,0.00003848892,0.0009893579,0.8627734,0.02943344,0.05177347,0.007568441,0.000485611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06332326,0.00002008637,0.9330662,0.0008228642,0.00004227798,0.0003674688,0.000003422668,0.0001881907,0.00216622],"genre_scores_gemma":[0.9664625,0.00001111767,0.03324457,0.00007539565,0.00003897422,0.00007607508,0.00001537212,0.00001010246,0.00006590122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9031392,"threshold_uncertainty_score":0.3679836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949893093589035,"score_gpt":0.4036949908625966,"score_spread":0.3541960599267062,"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."}}