{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003397658,0.0001094163,0.0001110958,0.0007079479,0.0006822844,0.0007208412,0.0001394598,0.00009922461,0.0151364],"category_scores_gemma":[0.0005271123,0.00003899484,0.00007942101,0.001054117,0.0003432653,0.0004488559,0.0004014674,0.0002082902,0.000841254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006325871,"about_ca_system_score_gemma":0.00058388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711878,"about_ca_topic_score_gemma":0.008575296,"domain_scores_codex":[0.9998713,0.00002878772,0.000007421002,0.00001903959,0.00003967272,0.00003379133],"domain_scores_gemma":[0.9997155,0.0001132815,0.00007631574,0.00001229194,0.00004055492,0.00004206252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004352124,0.0003909938,0.7193066,0.0006547609,0.000135039,0.001800488,0.01099415,0.0005737271,0.00711546,0.03032976,0.004567355,0.2236964],"study_design_scores_gemma":[0.000007304118,0.0001559528,0.9595917,0.0000949058,0.00003759779,0.0008388633,0.01009057,0.0002113133,0.001598218,0.00096547,0.02639675,0.00001136609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529699,0.001030055,0.000243319,0.0003306642,0.00002210941,0.00001416843,0.0003985784,0.000006489885,0.04498466],"genre_scores_gemma":[0.9896777,0.0008200546,0.0002928028,0.00002641226,0.00001056524,0.00001566901,0.0001709938,0.000002148333,0.00898362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0151364,"threshold_uncertainty_score":0.05063629,"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."}}