{"id":"W2883003498","doi":"10.35791/agrsosek.14.1.2018.19557","title":"POTENSI PENGEMBANGAN TERNAK SAPI POTONG DENGAN POLA INTEGRASI KELAPA-SAPI DI KECAMATAN TABARU KABUPATEN HALMAHERA BARAT","year":2018,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Livestock Farming and Management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Livestock; Agricultural science; Forage; Population; Beef cattle; Revenue; Productivity; Geography; Business; Animal science; Biology; Forestry; Ecology; Economic growth; Economics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0003678895,0.0005021919,0.0004490498,0.0000557613,0.0007328703,0.0003176734,0.0009423488,0.0002295445,0.0003826554],"category_scores_gemma":[0.00006896282,0.0002195675,0.0002490628,0.0003646282,0.0002318936,0.0003216135,0.0005119605,0.0003468408,0.0007561452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410789,"about_ca_system_score_gemma":0.00002260562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005365962,"about_ca_topic_score_gemma":0.00413587,"domain_scores_codex":[0.9972268,0.0001708605,0.0004876749,0.0009041587,0.0003436704,0.0008668725],"domain_scores_gemma":[0.99876,0.000151529,0.0002160509,0.0003295063,0.0001699097,0.000373008],"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":[0.0002977847,0.0007018344,0.2143738,0.00004730568,0.0003584994,0.0001504234,0.00180909,0.00001130405,0.4662727,0.005363781,0.03052863,0.2800849],"study_design_scores_gemma":[0.0004193792,0.001086338,0.8716227,0.00008731046,0.00007183867,0.00003617775,0.0009822585,0.0001089498,0.01021983,0.0002081968,0.114433,0.0007240081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881381,0.0002459805,0.00001971735,0.002092733,0.0009930761,0.00058985,0.00004892951,0.0003138208,0.007557801],"genre_scores_gemma":[0.9930066,0.00009259038,0.0001742949,0.0007488367,0.001765015,0.0000579818,0.000139855,0.00001018532,0.004004682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.657249,"threshold_uncertainty_score":0.9718969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502937803275223,"score_gpt":0.2083282144331512,"score_spread":0.193298836400399,"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."}}