{"id":"W4409967861","doi":"10.29244/agro-maritim.0701.1126-1132","title":"Teknologi Genomik sebagai Pilar Utama Kebijakan Perkebunan Nasional","year":2025,"lang":"id","type":"article","venue":"Policy Brief Pertanian Kelautan dan Biosains Tropika","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Political science","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","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007214684,0.001303596,0.001157657,0.0009912541,0.0009968764,0.0005433459,0.002340187,0.001778142,0.0002607224],"category_scores_gemma":[0.003224847,0.001230543,0.0008807869,0.001341095,0.002212045,0.00003173997,0.001763206,0.001130876,0.0004150326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287787,"about_ca_system_score_gemma":0.004288523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004475454,"about_ca_topic_score_gemma":0.001032037,"domain_scores_codex":[0.9920704,0.0005056866,0.001756139,0.001783525,0.001145169,0.002739077],"domain_scores_gemma":[0.9953011,0.0002018561,0.0004310044,0.002163262,0.0005820752,0.001320758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001369323,0.002201872,0.01091151,0.001903414,0.002437006,0.0002906497,0.002016571,0.00001273539,0.7776002,0.01150043,0.1136573,0.07609894],"study_design_scores_gemma":[0.004133725,0.001833679,0.0264359,0.0003936508,0.0002232973,0.0001544155,0.001654971,0.0005412928,0.07894865,0.0004142196,0.8835493,0.001716838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821715,0.008995524,0.001055101,0.05237045,0.001985715,0.002324384,0.00204581,0.0002529504,0.04879864],"genre_scores_gemma":[0.9299256,0.01076474,0.001420953,0.01112728,0.002359608,0.00006693168,0.001178234,0.000158232,0.04299839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.769892,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307570389897978,"score_gpt":0.2858585464045945,"score_spread":0.2727828425056147,"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."}}