{"id":"W4387216822","doi":"10.59697/jik.v2i1.430","title":"SISTEM PAKAR DIAGNOSA PENYAKIT SINUSITIS MENGGUNAKAN METODE BAYES BERBASIS WEB","year":2018,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Medicine","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":[0.002301937,0.0008227759,0.001028985,0.001246634,0.0007343664,0.002644753,0.0006113945,0.001161741,0.009212591],"category_scores_gemma":[0.009313184,0.0004625297,0.0007073386,0.0006868129,0.0003516035,0.001732305,0.000816898,0.001149936,0.00360499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008757977,"about_ca_system_score_gemma":0.00137353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007432709,"about_ca_topic_score_gemma":0.006821916,"domain_scores_codex":[0.9980898,0.0005651393,0.0002044762,0.0004201253,0.0005767173,0.0001436208],"domain_scores_gemma":[0.9965843,0.002436477,0.0001363302,0.0001713601,0.0005896296,0.00008183078],"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":[0.001304355,0.0004291963,0.06017338,0.000515226,0.0003299886,0.0005130348,0.0006168318,0.03720911,0.01507532,0.004831112,0.01310869,0.8658937],"study_design_scores_gemma":[0.0001241548,0.0003569984,0.02476403,0.0002961956,0.0002403879,0.001154652,0.0008442029,0.9161313,0.02257827,0.01336378,0.02004656,0.00009949365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3555468,0.004492515,0.5900352,0.00401812,0.0007871254,0.0009213357,0.004490022,0.008271049,0.03143797],"genre_scores_gemma":[0.7457492,0.001130277,0.2294949,0.000531835,0.0002333563,0.0004445004,0.003434996,0.0003596818,0.01862123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009212591,"threshold_uncertainty_score":0.03081918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763697712690258,"score_gpt":0.2584857709739024,"score_spread":0.2408487938469998,"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."}}