{"id":"W2360707572","doi":"","title":"A method based on Relation DataBase to design KnowledgeBase System","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge base; Relation (database); Base (topology); Database; Mechanism (biology); Data mining; Information retrieval; 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":[0.001367344,0.000513161,0.0004495025,0.001963512,0.001046696,0.002794474,0.001420335,0.0007695943,0.006036219],"category_scores_gemma":[0.001962715,0.0004525751,0.001225148,0.001330166,0.0008537458,0.003648618,0.001386098,0.001101614,0.002081149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008372005,"about_ca_system_score_gemma":0.001887942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210505,"about_ca_topic_score_gemma":0.002785074,"domain_scores_codex":[0.9982552,0.0003637737,0.0001867388,0.0004955267,0.0005960776,0.0001027461],"domain_scores_gemma":[0.9994504,0.0001507977,0.00003042087,0.0001294341,0.0001973438,0.00004170868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001354402,0.0001748078,0.001225183,0.0008888053,0.0001357489,0.0003979001,0.001161194,0.00978741,0.01875476,0.4594058,0.02659341,0.4813395],"study_design_scores_gemma":[0.0002786532,0.0002429128,0.000909477,0.0003141925,0.0002808095,0.001927869,0.0003634246,0.1333241,0.04011749,0.207205,0.6148545,0.0001815657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001431496,0.0004588336,0.990862,0.0002479484,0.0001003596,0.0001904267,0.0001096714,0.001763271,0.004835965],"genre_scores_gemma":[0.03818485,0.0007947942,0.9502791,0.0003003691,0.00009314297,0.0005241464,0.0004484859,0.0003051726,0.009069956],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006036219,"threshold_uncertainty_score":0.02019316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223786245313203,"score_gpt":0.312017066414392,"score_spread":0.2896384418830717,"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."}}