{"id":"W4404578725","doi":"10.62951/modem.v2i4.235","title":"Diagnosis Penyakit Hypertemia Menggunakan Metode Demster Shafer","year":2024,"lang":"en","type":"article","venue":"Modem","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0002898628,0.000575569,0.0005115141,0.00138703,0.0004099352,0.0007754483,0.0002623991,0.0005182993,0.007216433],"category_scores_gemma":[0.0009282115,0.0001413894,0.0003492374,0.0004244864,0.0002730903,0.0008298971,0.0005036002,0.0006471343,0.002165731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935945,"about_ca_system_score_gemma":0.0006041002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305083,"about_ca_topic_score_gemma":0.001030843,"domain_scores_codex":[0.9997612,0.00003896529,0.00003950899,0.00005065759,0.00007567232,0.00003398681],"domain_scores_gemma":[0.9998326,0.00004703752,0.00002551281,0.000008314787,0.00006609333,0.00002038663],"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":[0.00249552,0.000479448,0.198576,0.001856993,0.0001668928,0.04565857,0.001106407,0.002044369,0.04740805,0.003594283,0.02658724,0.6700261],"study_design_scores_gemma":[0.0004704691,0.002285881,0.2236346,0.002897816,0.0008203944,0.3549503,0.008033598,0.05759254,0.1389221,0.01529172,0.1946784,0.0004222219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.805771,0.05002169,0.05269929,0.008748612,0.002726035,0.0007325095,0.003112371,0.00233527,0.0738532],"genre_scores_gemma":[0.9505238,0.01256622,0.01889428,0.001023602,0.0003339888,0.0001267524,0.00193097,0.00006499649,0.01453536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007216433,"threshold_uncertainty_score":0.02414137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226793697833365,"score_gpt":0.2627410274680543,"score_spread":0.2400616576847178,"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."}}