{"id":"W3157360090","doi":"","title":"SISTEM PENDUKUNG KEPUTUSAN PENENTUAN REPLANTING PADA TANAMAN KELAPA SAWIT DI PT.UKINDO BLANKAHAN ESTATE MENGUNAKAN METODE SAW","year":2021,"lang":"id","type":"article","venue":"","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Sowing; Palm oil; Ranking (information retrieval); Agroforestry; Forestry; Agricultural engineering; Mathematics; Agronomy; Environmental science; Engineering; Computer science; Biology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002315281,0.001275826,0.001656002,0.0008009322,0.001656581,0.0045484,0.001499906,0.0004356322,0.03300912],"category_scores_gemma":[0.0005562474,0.001284374,0.0007755549,0.002818467,0.000136886,0.002675044,0.001793797,0.0007128264,0.02116392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130991,"about_ca_system_score_gemma":0.0003527822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010607,"about_ca_topic_score_gemma":0.003429351,"domain_scores_codex":[0.9903721,0.000225179,0.0029268,0.002621015,0.002044503,0.001810444],"domain_scores_gemma":[0.9927956,0.0005784524,0.001939732,0.003055548,0.001375689,0.0002550015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003756337,0.003487162,0.1307976,0.006170492,0.003882653,0.006572699,0.002508016,0.00006438184,0.036864,0.05678714,0.6868248,0.06566547],"study_design_scores_gemma":[0.001849759,0.00002514667,0.01478229,0.0007612008,0.0009759816,0.0001885697,0.008691099,0.001378012,0.002314397,0.0004421637,0.9667308,0.001860538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1304668,0.001024256,0.001989805,0.004325167,0.002592412,0.001752036,0.00006321335,0.0008283433,0.8569579],"genre_scores_gemma":[0.7584326,0.0003158845,0.001234493,0.001529234,0.001498841,0.0001623784,0.000938596,0.0002845422,0.2356034],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6279657,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264787205393115,"score_gpt":0.2528106805500085,"score_spread":0.226331960010697,"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."}}