{"id":"W2099499926","doi":"10.1109/ccece.1993.332408","title":"Evaluating expert systems by formal metrics","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Metric (unit); Measure (data warehouse); Computer science; Expert system; Artificial intelligence; Software engineering; Machine learning; Data mining; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01836655,0.001537247,0.0009620406,0.007561087,0.0006215874,0.005314688,0.001224642,0.001511071,0.001981589],"category_scores_gemma":[0.1312113,0.0004319571,0.0007712186,0.004552992,0.002688282,0.008575466,0.002254986,0.001203258,0.0002859737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003142255,"about_ca_system_score_gemma":0.002348463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990872,"about_ca_topic_score_gemma":0.00222807,"domain_scores_codex":[0.9547998,0.02074265,0.00443852,0.001966482,0.01717237,0.0008801174],"domain_scores_gemma":[0.8505357,0.1027861,0.01552628,0.0110218,0.01848753,0.001642481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001721784,0.0002657993,0.01751433,0.0008404957,0.0002627075,0.0001527609,0.0009389571,0.4763246,0.005104216,0.2409052,0.002591725,0.2549271],"study_design_scores_gemma":[0.00006031473,0.000467393,0.004648523,0.0002345685,0.0000762225,0.0001675194,0.0003433236,0.8280372,0.004982224,0.1538822,0.007021266,0.00007923044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.102326,0.001240754,0.8864399,0.0007239921,0.00009812367,0.0005257191,0.000399252,0.0007401224,0.007506257],"genre_scores_gemma":[0.5288203,0.0008881568,0.467025,0.000110787,0.0001268503,0.0008604979,0.00103553,0.0001805927,0.0009524275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01836655,"threshold_uncertainty_score":0.09713274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036773930240186,"score_gpt":0.3442505361667756,"score_spread":0.240573143142757,"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."}}