{"id":"W4285738447","doi":"10.55537/jistr.v1i2.148","title":"Expert System To Diagnose Pregnancy Diseases In Women Using Naive Bayes Method","year":2022,"lang":"en","type":"article","venue":"Journal of Information Systems and Technology Research","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Expert system; Pregnancy; Knowledge base; Computer science; Bayes' theorem; Naive Bayes classifier; Disease; Artificial intelligence; Medicine; Machine learning; Bayesian probability; Support vector machine; Pathology","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":[0.002060041,0.0007063931,0.00101157,0.002336661,0.0007324549,0.001208267,0.001085323,0.001127156,0.009081453],"category_scores_gemma":[0.006384641,0.000399703,0.0009985508,0.0009749616,0.0002383598,0.001132721,0.0004177114,0.0007021135,0.002855536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006085517,"about_ca_system_score_gemma":0.001455493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007820731,"about_ca_topic_score_gemma":0.006029557,"domain_scores_codex":[0.9984806,0.0003826851,0.0002640806,0.0003322452,0.0004411329,0.00009924729],"domain_scores_gemma":[0.9979926,0.001029301,0.0001266898,0.00009243293,0.0007074144,0.00005156318],"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":[0.0009448751,0.0004411443,0.01810354,0.001733635,0.0003019169,0.001223921,0.0005183098,0.06511702,0.01149153,0.00675163,0.05207415,0.8412984],"study_design_scores_gemma":[0.0003749808,0.0003846666,0.008422709,0.0005382868,0.000477065,0.001947507,0.0003641887,0.9021443,0.01624973,0.02131252,0.04763679,0.0001472253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03132064,0.002122186,0.9346291,0.001118445,0.0004469181,0.001400004,0.003770955,0.01012132,0.01507037],"genre_scores_gemma":[0.2925861,0.00175398,0.6894352,0.0007304208,0.0002315872,0.0008009773,0.005268332,0.0001704031,0.009022982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009081453,"threshold_uncertainty_score":0.03038049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300146447812658,"score_gpt":0.3722778706071936,"score_spread":0.3292764061290671,"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."}}