{"id":"W2350939013","doi":"","title":"The Fuzzy Query Technology of Chinese Homophone In MIS","year":2005,"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; Homophone; Table (database); Code (set theory); Process (computing); Source code; Key (lock); Fuzzy logic; Database; Programming language; Operating system; Artificial intelligence; Set (abstract data type)","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":[0.0001279412,0.0001348343,0.0001512124,0.0002093876,0.0002043667,0.00004572309,0.001406751,0.00006836653,0.000001335057],"category_scores_gemma":[0.000001301449,0.000107092,0.0000607995,0.001624624,0.0001199616,0.0001664151,0.0002626427,0.0001683188,0.00004352664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000555206,"about_ca_system_score_gemma":0.00005132005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006857358,"about_ca_topic_score_gemma":0.0000257227,"domain_scores_codex":[0.9988742,0.00001754289,0.0004109349,0.0003500021,0.0001206991,0.0002265558],"domain_scores_gemma":[0.9988366,0.0001564694,0.0001475542,0.0006931046,0.0001260548,0.00004015648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001225935,0.0001597402,0.0004218089,0.000005242695,0.000007135749,3.647487e-7,0.0001218032,0.001562887,0.006106318,0.3344291,0.0004848696,0.6566995],"study_design_scores_gemma":[0.0002730433,0.00002340095,0.003122284,0.00001194868,0.000002095451,0.00003506458,0.00001335744,0.01195776,0.006147923,0.2758186,0.7023746,0.0002199117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004371465,0.0004925708,0.9838594,0.009549544,0.000008622063,0.0005742782,0.000004375283,0.0002377764,0.0009019697],"genre_scores_gemma":[0.2191983,0.00006591461,0.7793982,0.0002503488,0.00007384261,0.0009011392,0.000005095457,0.000009497754,0.00009770212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7018898,"threshold_uncertainty_score":0.4367083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003834849210761254,"score_gpt":0.2584937563629318,"score_spread":0.2546589071521705,"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."}}