{"id":"W4404337033","doi":"10.61132/mars.v2i5.341","title":"Diagnosa Penyakit Kanker Prostat menggunakan Metode Certainty Factor","year":2024,"lang":"en","type":"article","venue":"Mars Jurnal Teknik Mesin Industri Elektro Dan Ilmu Komputer","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":"Medicine; Traditional 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":[0.00111676,0.0008048897,0.0009069066,0.001640369,0.0004018147,0.002050959,0.0005407035,0.000670455,0.004889437],"category_scores_gemma":[0.005611053,0.0002761932,0.0008073424,0.001085342,0.0004755537,0.001925228,0.0007375628,0.000808233,0.0009310623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006947162,"about_ca_system_score_gemma":0.0008091434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739989,"about_ca_topic_score_gemma":0.00151258,"domain_scores_codex":[0.9985373,0.000247395,0.0001841597,0.0003450794,0.0005886676,0.00009749094],"domain_scores_gemma":[0.9981834,0.001019667,0.0001860418,0.000103442,0.0004679984,0.00003950322],"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":[0.0007530983,0.000141316,0.02603559,0.001608538,0.0002368571,0.001093931,0.0006289819,0.0562514,0.03187485,0.01577245,0.003262641,0.8623405],"study_design_scores_gemma":[0.0001360831,0.0009233892,0.03962725,0.0006302386,0.0004754463,0.007317233,0.001794238,0.7710245,0.07649124,0.0550236,0.0461712,0.0003856187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1748212,0.006850081,0.7981779,0.0009787385,0.0003018037,0.0001744806,0.001315527,0.001470045,0.01591022],"genre_scores_gemma":[0.8381538,0.002694446,0.1538267,0.0001102358,0.000105842,0.00009334519,0.000906717,0.00008945811,0.004019449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004889437,"threshold_uncertainty_score":0.01635677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813646418517166,"score_gpt":0.2755021337210353,"score_spread":0.2573656695358637,"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."}}