{"id":"W4403905804","doi":"10.59934/jaiea.v4i1.680","title":"Application of Bayes Method to Predicting Vertigo Disease","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Bayes' theorem; Vertigo; Meniere's disease; Disease; Medicine; Bayesian probability; Econometrics; Computer science; Artificial intelligence; Mathematics; Internal medicine; Surgery","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":[0.0005205687,0.00009641287,0.0001711836,0.0002296474,0.00005119122,0.0001164023,0.0003714172,0.00003669714,0.000001067285],"category_scores_gemma":[0.00005456799,0.00008432339,0.00007953469,0.0005693265,0.0000156898,0.0002388101,0.00005549617,0.0001248628,0.00001255922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002941372,"about_ca_system_score_gemma":0.00005490874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001241189,"about_ca_topic_score_gemma":8.078519e-7,"domain_scores_codex":[0.9989412,0.00001868056,0.0005149706,0.0001907928,0.0002011297,0.0001331673],"domain_scores_gemma":[0.9991778,0.000194457,0.00009883807,0.0002227841,0.0001372404,0.0001688762],"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":[0.00001168282,0.00004301044,0.0001244204,0.0001302373,0.00004158018,0.000004070573,0.0004752187,0.07343988,0.0264112,0.4322824,0.0000500503,0.4669862],"study_design_scores_gemma":[0.00001690948,0.00009485073,0.0005566248,0.0001464576,0.00003857301,0.00002996987,0.0001130133,0.9573118,0.006978198,0.02665075,0.007919773,0.0001430434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002624596,0.001394484,0.9946437,0.0008403164,0.0001602684,0.000196218,0.000003179731,0.00006255492,0.00007460749],"genre_scores_gemma":[0.9223582,0.00003813014,0.07724056,0.00002719807,0.0002617699,0.00005664337,5.426541e-7,0.000007858326,0.00000907939],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9197336,"threshold_uncertainty_score":0.3438608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689762415738698,"score_gpt":0.2767589305561859,"score_spread":0.2598613063987989,"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."}}