{"id":"W1916921876","doi":"10.24198/sosiohumaniora.v11i2.5414","title":"ANALISIS POTENSI WILAYAH PENGEMBANGAN TERNAK RUMINANSIA DI KABUPATEN PURWAKARTA","year":2009,"lang":"id","type":"article","venue":"Sosiohumaniora","topic":"Livestock Farming and Management","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Geography","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":[0.00135959,0.0004922572,0.0007024468,0.001393842,0.0008623694,0.001808097,0.0004518063,0.0006519728,0.00699915],"category_scores_gemma":[0.00143517,0.0003273645,0.0007252006,0.001415413,0.0003414443,0.0007967041,0.0007070447,0.0009966105,0.00154137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006328081,"about_ca_system_score_gemma":0.0006254319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00596808,"about_ca_topic_score_gemma":0.01644515,"domain_scores_codex":[0.9990935,0.0001527689,0.00006937103,0.0002826865,0.0002957377,0.0001059835],"domain_scores_gemma":[0.9978473,0.0007955562,0.0004087741,0.0001298321,0.0006133238,0.0002052329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00458291,0.000835648,0.5472817,0.002506025,0.0008033647,0.001624085,0.008811908,0.0006243911,0.2716509,0.0009160912,0.004340673,0.1560223],"study_design_scores_gemma":[0.00002777726,0.001499744,0.9102589,0.0002177348,0.0003525951,0.0004892703,0.007680004,0.000653532,0.04949331,0.0004511343,0.02881377,0.00006228868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675359,0.003711024,0.003695003,0.0002839914,0.0001125849,0.0002699915,0.007655896,0.0001149676,0.01662066],"genre_scores_gemma":[0.9317245,0.003308182,0.01193624,0.000373913,0.00005592476,0.0004929743,0.005556525,0.00007843249,0.04647321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00699915,"threshold_uncertainty_score":0.02341455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955161419537819,"score_gpt":0.228978637484721,"score_spread":0.2094270232893428,"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."}}