{"id":"W4401467395","doi":"10.53488/jba.v10i01.165","title":"KOMPARASI PENDAPATAN USAHATANI KARET RAKYAT MENGGUNAKAN BAHAN PEMBEKU DEORUB DAN NON DEORUB DI KECAMATAN LUBUK RAJA KABUPATEN OKU","year":2024,"lang":"en","type":"article","venue":"Jurnal Bakti Agribisnis","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Raja; Natural rubber; Value (mathematics); Significant difference; Table (database); Agricultural science; Toxicology; Mathematics; Business; Statistics; Biology; Botany; Materials science; Composite material; Computer science; Database","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"],"consensus_categories":[],"category_scores_codex":[0.0005283683,0.0008686824,0.0008387475,0.00006593445,0.001071893,0.0007944843,0.0009996839,0.0004706952,0.0006633815],"category_scores_gemma":[0.00006543769,0.0003224606,0.0005742325,0.001227604,0.0001701596,0.0008514451,0.0004321822,0.001058591,0.0004814599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128828,"about_ca_system_score_gemma":0.00005236159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005711716,"about_ca_topic_score_gemma":0.00152953,"domain_scores_codex":[0.9953514,0.0001989353,0.0008754621,0.001271303,0.0009866997,0.001316236],"domain_scores_gemma":[0.9983225,0.0004221399,0.0002384397,0.000251009,0.000190589,0.0005753046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002973127,0.0006041771,0.1077095,0.0002040292,0.0008453589,0.001312762,0.002322051,0.00003876608,0.5364143,0.002616391,0.1359596,0.2116758],"study_design_scores_gemma":[0.0003798106,0.0006492176,0.7032304,0.0003928766,0.0002372206,0.0003340667,0.003071207,0.000168274,0.02085856,0.0001989068,0.2692371,0.001242399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770764,0.001742265,0.00001766976,0.008221479,0.00108572,0.0005853383,0.0004662938,0.0005014717,0.01030341],"genre_scores_gemma":[0.9914384,0.0005150718,0.0000463182,0.000537951,0.002775706,0.00005961688,0.0005687634,0.00001170061,0.00404649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5955209,"threshold_uncertainty_score":0.9999228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797339264780144,"score_gpt":0.2302967657777461,"score_spread":0.2123233731299446,"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."}}