{"id":"W4404578736","doi":"10.62951/modem.v2i4.231","title":"Diagnosa Penyakit Epilepsi Menggunakan Metode Bayes","year":2024,"lang":"en","type":"article","venue":"Modem","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":"Naive Bayes classifier; Computer science; Natural language processing; Statistics; Artificial intelligence; Mathematics","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":[0.001357399,0.0009940735,0.001211414,0.001569899,0.0006382671,0.001857219,0.0007751767,0.0009333486,0.004708196],"category_scores_gemma":[0.004944787,0.0004583101,0.0008667809,0.0007792696,0.0004450512,0.001709095,0.0008379351,0.001036349,0.001865389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008200767,"about_ca_system_score_gemma":0.001404125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00376962,"about_ca_topic_score_gemma":0.003019379,"domain_scores_codex":[0.9988781,0.0002392181,0.0001722929,0.0003104632,0.0003156694,0.00008421966],"domain_scores_gemma":[0.9985453,0.000865115,0.00010255,0.00006583133,0.0003927931,0.00002840875],"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":[0.0006578093,0.000178022,0.01186819,0.0007171804,0.0001905666,0.0006226231,0.0002710517,0.05143978,0.01127286,0.01270403,0.009116706,0.9009613],"study_design_scores_gemma":[0.0000919057,0.0001800236,0.004031277,0.0002709262,0.0001405136,0.001461196,0.0002555891,0.9321371,0.014067,0.0321658,0.01511342,0.0000852073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07443358,0.005289938,0.9002326,0.001775386,0.0006011376,0.0004123599,0.001654022,0.003978876,0.01162214],"genre_scores_gemma":[0.5074556,0.003105474,0.4759724,0.0005771627,0.0003223005,0.000456713,0.002647159,0.000274838,0.009188307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004708196,"threshold_uncertainty_score":0.01575053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008658869767127033,"score_gpt":0.2682126703529077,"score_spread":0.2595538005857807,"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."}}