{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215422,0.0002137921,0.0002598565,0.0001264229,0.000374663,0.000692421,0.0008920461,0.00009202318,0.0002102019],"category_scores_gemma":[0.0001639922,0.0001884318,0.000160384,0.0004924848,0.00003025395,0.001349995,0.0004864011,0.0002974698,0.0004391575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083781,"about_ca_system_score_gemma":0.0001936643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002171571,"about_ca_topic_score_gemma":0.0000387209,"domain_scores_codex":[0.998017,0.0001000616,0.0004811502,0.0003688068,0.0005998287,0.0004331812],"domain_scores_gemma":[0.9985634,0.0001550324,0.0002102779,0.0006795765,0.0002019113,0.0001897961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006949796,0.0004800966,0.01067694,0.0002910864,0.0005048146,0.003254259,0.0123856,0.0002221498,0.007518095,0.5338411,0.03617103,0.3945854],"study_design_scores_gemma":[0.001229383,0.0002133184,0.028755,0.0001231656,0.00004154371,0.00064691,0.001024811,0.01404335,0.05673109,0.001317323,0.8948914,0.0009826571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5928633,0.0008473406,0.3254173,0.007730552,0.003577191,0.0006086509,0.0002832638,0.001098463,0.0675739],"genre_scores_gemma":[0.9756922,0.00006760408,0.01814056,0.002566358,0.0002891098,0.00001144736,0.00008009165,0.00001959909,0.003133048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8587204,"threshold_uncertainty_score":0.7684025,"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."}}