{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001483159,0.0002557347,0.0001788224,0.0004879767,0.001087021,0.0008357566,0.00019798,0.0002737467,0.01522698],"category_scores_gemma":[0.0001780377,0.0001369326,0.0001477767,0.0006220862,0.0002675637,0.0005508825,0.0007375235,0.0004535701,0.003436124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005761267,"about_ca_system_score_gemma":0.0009760895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006272526,"about_ca_topic_score_gemma":0.01571905,"domain_scores_codex":[0.9999299,0.000009552928,0.000004602217,0.00001676813,0.00001419344,0.00002499464],"domain_scores_gemma":[0.9999381,0.00001357156,0.00001054337,0.000004711861,0.00001767753,0.00001543271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001013042,0.0006050865,0.1233567,0.002316335,0.0001011682,0.01933368,0.02528509,0.0007393506,0.06614883,0.01821925,0.04003473,0.7028468],"study_design_scores_gemma":[0.00003920135,0.0003159809,0.236752,0.0004897502,0.00007646788,0.01026995,0.02931425,0.0005926026,0.01276738,0.00229669,0.7070385,0.00004734597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7243907,0.008164622,0.00197477,0.002188575,0.0003887221,0.0002653075,0.001996855,0.0002308548,0.2603997],"genre_scores_gemma":[0.7919714,0.006498036,0.005628129,0.0004517919,0.00006414478,0.0001531111,0.00167188,0.00006393255,0.1934976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01522698,"threshold_uncertainty_score":0.05093938,"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."}}