{"id":"W2053064103","doi":"10.1109/sofa.2009.5254849","title":"The diagnosis of some kidney diseases in a small prolog Expert System","year":2009,"lang":"en","type":"article","venue":"","topic":"Mathematical Control Systems and Analysis","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Prolog; Computer science; Expert system; Programming language; Artificial intelligence","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":[0.0006963239,0.0003379578,0.0004043943,0.0004530987,0.0003882152,0.0008629707,0.0006268229,0.0005630347,0.00385402],"category_scores_gemma":[0.002132134,0.0003021317,0.0003334977,0.0002853476,0.0002859666,0.0007873886,0.0004930767,0.0004277603,0.0005806952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597181,"about_ca_system_score_gemma":0.0006628746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232089,"about_ca_topic_score_gemma":0.002641713,"domain_scores_codex":[0.9996319,0.0001017192,0.00005076614,0.00008911298,0.00008967154,0.00003693487],"domain_scores_gemma":[0.9990011,0.0006857101,0.00006301101,0.00005949909,0.0001163126,0.00007433353],"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":[0.004281286,0.0009262282,0.01247576,0.001833802,0.0001989558,0.009502145,0.001460568,0.1901306,0.1420907,0.02182559,0.02237353,0.5929009],"study_design_scores_gemma":[0.0005198467,0.0006008816,0.004974543,0.0001339471,0.0002225214,0.00332227,0.0002384716,0.8955285,0.05582808,0.007828726,0.03071212,0.00009013934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2153296,0.0005912426,0.7649925,0.0006796917,0.00008500243,0.0003856233,0.001177012,0.01142254,0.005336781],"genre_scores_gemma":[0.5464244,0.0003345879,0.4473922,0.0002157119,0.00003971854,0.0001240381,0.001116038,0.0001680946,0.004185186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00385402,"threshold_uncertainty_score":0.01289296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389294908095925,"score_gpt":0.2325355383427708,"score_spread":0.2186425892618115,"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."}}