{"id":"W4383047380","doi":"10.54314/teknisi.v1i2.660","title":"SISTEM PAKAR MENDIAGNOSA PENYAKIT TANAMAN MANGGA ARUMANIS DENGAN METODE CERTAINTY FACTOR","year":2021,"lang":"en","type":"article","venue":"JURNAL TEKNISI","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Agriculture; Crop; Value (mathematics); Computer science; Geography; Forestry; Machine learning","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":[0.0006442982,0.0006095021,0.0006708378,0.0009156791,0.000442605,0.001697474,0.0004561769,0.0003698907,0.004384899],"category_scores_gemma":[0.002470902,0.0001764503,0.0004445194,0.0006910082,0.0003596854,0.001260639,0.0004875993,0.0004544173,0.0009857598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005093196,"about_ca_system_score_gemma":0.000803642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00600749,"about_ca_topic_score_gemma":0.005112376,"domain_scores_codex":[0.9994552,0.00007245805,0.00005310273,0.0001885897,0.0001821128,0.0000485165],"domain_scores_gemma":[0.9992016,0.000315277,0.000120555,0.00007221068,0.0002617869,0.00002855076],"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":[0.001458271,0.0002578572,0.06193423,0.001523126,0.0003641245,0.001791696,0.001054806,0.04537415,0.04660454,0.02893647,0.008533497,0.8021672],"study_design_scores_gemma":[0.0003171618,0.0009974412,0.09341087,0.0004276508,0.000930163,0.004182292,0.002711175,0.6749779,0.05921642,0.06328649,0.09925392,0.0002884788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4340155,0.004503374,0.502771,0.001250888,0.0003702595,0.000296439,0.003487731,0.005417195,0.04788759],"genre_scores_gemma":[0.9316524,0.0009450397,0.05823779,0.00006549987,0.00006278136,0.00006567857,0.001960366,0.00006829386,0.006942295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00600749,"threshold_uncertainty_score":0.01466894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202816121744601,"score_gpt":0.2514007781502912,"score_spread":0.2293726169328452,"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."}}