{"id":"W4391389272","doi":"10.25157/ma.v10i1.12233","title":"Nilai Pemanfaatan Limbah Kelapa Sawit untuk Pakan Ternak (Studi Kasus Pakan Ruminasia)","year":2024,"lang":"en","type":"article","venue":"MIMBAR AGRIBISNIS Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis","topic":"Food and Agricultural Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Animal science; Biology","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":[0.001433586,0.001814207,0.001557322,0.0002163924,0.002027906,0.00237779,0.002700997,0.0008050667,0.002309969],"category_scores_gemma":[0.0001341765,0.0007576399,0.00150396,0.003484193,0.0007543504,0.001618067,0.0007066153,0.001818673,0.001658369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790254,"about_ca_system_score_gemma":0.0001253662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203545,"about_ca_topic_score_gemma":0.003096515,"domain_scores_codex":[0.9891785,0.0005154666,0.001882909,0.002928611,0.002511793,0.002982767],"domain_scores_gemma":[0.9963638,0.0007038457,0.0005247779,0.0005662693,0.0003527723,0.001488553],"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":[0.0003190996,0.001044789,0.02070847,0.0003129549,0.0005677034,0.00207886,0.001317774,0.00008097021,0.6646988,0.002795717,0.1062323,0.1998425],"study_design_scores_gemma":[0.001404971,0.00352509,0.373785,0.001479378,0.0005595822,0.00212629,0.005072605,0.0003447264,0.03831774,0.001462015,0.5670093,0.004913247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571564,0.007761548,0.00001470156,0.01200556,0.002518394,0.001203418,0.0005691707,0.001321026,0.01744984],"genre_scores_gemma":[0.983967,0.001195858,0.0001747752,0.001124115,0.004703083,0.0001175431,0.0005511271,0.00003237861,0.00813412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6263811,"threshold_uncertainty_score":0.9994875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086338183757283,"score_gpt":0.2074726505212584,"score_spread":0.1966092686836855,"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."}}