{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003083472,0.0002386932,0.0001823525,0.0003162345,0.0003854855,0.0001444764,0.001084091,0.00006925756,0.000002533061],"category_scores_gemma":[0.000001646759,0.0002474332,0.00008577457,0.001301144,0.00002026616,0.0002472156,0.0002215403,0.0001712792,0.0005904292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003407318,"about_ca_system_score_gemma":0.0001644553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008524089,"about_ca_topic_score_gemma":9.933879e-7,"domain_scores_codex":[0.9981791,0.00007645584,0.0003706607,0.0008335242,0.0002486803,0.0002915995],"domain_scores_gemma":[0.9981819,0.0002450089,0.0001225193,0.001014786,0.0002139802,0.0002218439],"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":[0.000005215282,0.0002008179,0.000001101636,0.00001759271,0.000005714612,0.000002289541,0.00007167156,0.4141561,0.003105229,0.4991326,0.0009040732,0.08239764],"study_design_scores_gemma":[0.0007795273,0.000167906,0.000130722,0.0001426157,0.00001607274,0.00004576196,0.000009437456,0.709099,0.02364611,0.02931984,0.2360641,0.0005788748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001908924,0.00001665966,0.9929841,0.002978206,0.00001819342,0.001998823,0.00002415578,0.001137353,0.0008234573],"genre_scores_gemma":[0.01573167,9.530944e-7,0.9790308,0.002056942,0.0001236296,0.002936025,0.00005686148,0.00002637189,0.000036714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4698128,"threshold_uncertainty_score":0.9999978,"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."}}