{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000303264,0.0001135945,0.0001076544,0.0000884726,0.0001323728,0.0003826918,0.0007835832,0.00004114385,0.00004175918],"category_scores_gemma":[0.0000577836,0.0001004533,0.00005633859,0.0003479735,0.0000242287,0.0003986684,0.0002681973,0.0002150966,0.0009599274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002340756,"about_ca_system_score_gemma":0.0000515891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007600054,"about_ca_topic_score_gemma":0.000007190053,"domain_scores_codex":[0.9989569,0.00004776421,0.0001392829,0.0004577169,0.000174064,0.0002242769],"domain_scores_gemma":[0.9989849,0.0002241458,0.00002227511,0.0006624172,0.00001964767,0.00008665236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.56995e-7,0.0000468387,0.0002604076,0.00002837079,0.00003747441,0.00003024775,0.001433349,0.001037384,0.0003325501,0.5203634,0.1039763,0.3724528],"study_design_scores_gemma":[0.00005924747,0.00003006438,0.0007143882,0.00003207432,0.00001185767,0.00001414341,0.0000116726,0.5593601,0.0003680756,0.01269713,0.4265307,0.0001705727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005511871,0.0007424049,0.9698958,0.00799106,0.0003635664,0.00009828615,0.00002059482,0.001235821,0.01414055],"genre_scores_gemma":[0.9343058,0.00004114161,0.06194687,0.0003683172,0.000205794,0.00009719945,0.00003202993,0.00001718094,0.002985611],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.928794,"threshold_uncertainty_score":0.999818,"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."}}