{"id":"W4402695324","doi":"10.61132/jupiter.v2i5.558","title":"Penerapan Metode Certainty Factor untuk Mendiagnosa penyakit Tanaman Tomat","year":2024,"lang":"en","type":"article","venue":"Jupiter Publikasi Ilmu Keteknikan Industri Teknik Elektro dan Informatika","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":"Mathematics; Horticulture; Biology","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":[0.0001854537,0.0006594901,0.0003710538,0.0006985082,0.00101004,0.001129625,0.0004989823,0.0005016474,0.09907522],"category_scores_gemma":[0.0003719516,0.0001977598,0.0002349095,0.0006500534,0.0002707261,0.000616069,0.001003553,0.0006455348,0.01606609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862006,"about_ca_system_score_gemma":0.001356831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00730893,"about_ca_topic_score_gemma":0.00926444,"domain_scores_codex":[0.9998533,0.00001117064,0.000007456345,0.00005344157,0.00003519071,0.00003940354],"domain_scores_gemma":[0.9998097,0.00002447395,0.00003024836,0.00001645116,0.00005910301,0.00005997733],"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":[0.001180097,0.0005643033,0.03182381,0.00105343,0.00005457236,0.006236667,0.001032669,0.0004846435,0.04083589,0.008277404,0.0350557,0.8734007],"study_design_scores_gemma":[0.00008979597,0.0005632914,0.08795899,0.0003251839,0.0001043924,0.005883942,0.001954549,0.0006347483,0.007426581,0.001496814,0.8935118,0.00004998627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4252734,0.03079653,0.005894219,0.006226809,0.001785755,0.0005625595,0.004643724,0.001724665,0.5230923],"genre_scores_gemma":[0.3976499,0.01440412,0.01051649,0.001192216,0.0002078732,0.0002842631,0.003399747,0.0002124074,0.572133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09907522,"threshold_uncertainty_score":0.3314397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501660661756992,"score_gpt":0.2627086477529379,"score_spread":0.247692041135368,"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."}}