{"id":"W4206316315","doi":"10.1145/3487664.3487728","title":"A Generic Knowledge Based Medical Diagnosis Expert System","year":2021,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Nvidia","keywords":"Inference engine; Expert system; Computer science; Inference; Knowledge representation and reasoning; Legal expert system; Knowledge base; Knowledge-based systems; Graphical user interface; Medical knowledge; User interface; Knowledge acquisition; Representation (politics); Machine learning; Artificial intelligence; Software engineering; Programming language; Medicine","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":[0.001378239,0.0004960683,0.0008162016,0.001596927,0.000398534,0.001254854,0.001836587,0.001614525,0.00731138],"category_scores_gemma":[0.002643274,0.0002872509,0.0007821688,0.0009632426,0.0004721471,0.001136931,0.001401035,0.0007564927,0.004090276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551346,"about_ca_system_score_gemma":0.001181083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728487,"about_ca_topic_score_gemma":0.001507163,"domain_scores_codex":[0.9989259,0.0001635841,0.000159542,0.0003344934,0.0003399474,0.00007650137],"domain_scores_gemma":[0.9990526,0.0002338706,0.00008807177,0.0002379637,0.0002933453,0.0000941096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006198421,0.0004172367,0.004887717,0.001464549,0.0002583421,0.002037771,0.0003209626,0.03354768,0.04881401,0.02627859,0.0482372,0.8331162],"study_design_scores_gemma":[0.0005531557,0.0005438503,0.01113748,0.0004432824,0.0006741373,0.00971111,0.000176958,0.5952502,0.05478607,0.04634447,0.2801071,0.00027205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01042429,0.0007901689,0.9509649,0.0006248801,0.0001400251,0.0004814576,0.001783402,0.02539447,0.009396374],"genre_scores_gemma":[0.1472024,0.0008368877,0.8365141,0.001620607,0.0001570935,0.0002467851,0.005832701,0.0003753886,0.007213963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00731138,"threshold_uncertainty_score":0.024459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2619418104959125,"score_gpt":0.5210059147572734,"score_spread":0.2590641042613609,"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."}}