{"id":"W4387376856","doi":"10.59934/jaiea.v3i1.259","title":"Diagnosis of Herpes Zoster Using Bayes Theorem Method","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Bayes' theorem; Itching; Disease; Conditional probability; Shingles; Blisters; Medicine; Dermatology; Mathematics; Computer science; Artificial intelligence; Pathology; Statistics; Immunology; Virus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007906365,0.0001122471,0.0002079141,0.0003623161,0.0001080696,0.00009447756,0.0005208678,0.00005226807,0.000005937877],"category_scores_gemma":[0.0001215667,0.0001030622,0.0000793026,0.0009820528,0.00004294831,0.0002684672,0.0001234783,0.0001541663,0.00001670033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001646741,"about_ca_system_score_gemma":0.00003976603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002293203,"about_ca_topic_score_gemma":0.000001156002,"domain_scores_codex":[0.9989266,0.00003132096,0.0005055195,0.0001834794,0.0001810004,0.0001720268],"domain_scores_gemma":[0.9987444,0.0004449417,0.0002443927,0.0003254467,0.0001531187,0.00008768282],"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":[0.000004229897,0.00007783692,0.0001775134,0.00004465719,0.00005032038,0.000002557913,0.0008485234,0.0923368,0.007412015,0.118411,0.000163193,0.7804713],"study_design_scores_gemma":[0.00004614317,0.0001048347,0.0009463274,0.0001424368,0.00006389886,0.00008818325,0.0004684379,0.9138249,0.04269615,0.02110353,0.0202327,0.0002824851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03201239,0.0001915781,0.9668278,0.0006643442,0.00009259466,0.00009334959,0.000007071941,0.00007636606,0.00003449285],"genre_scores_gemma":[0.6678625,0.0002719005,0.3316033,0.00002951508,0.0001549385,0.0000416051,0.000003305868,0.00001598009,0.00001705299],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8214881,"threshold_uncertainty_score":0.4202755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541773017938359,"score_gpt":0.3322193396993053,"score_spread":0.2868016095199217,"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."}}