{"id":"W2067787486","doi":"10.1016/j.ics.2006.01.042","title":"Effects of various feed additives on the methane emissions from beef cattle","year":2006,"lang":"en","type":"article","venue":"International Congress Series","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Monensin; Beef cattle; Dry matter; Chemistry; Animal science; Methane; Canola; Distillers grains; Agronomy; Silage; Forage; Food 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":[],"consensus_categories":[],"category_scores_codex":[0.00003266425,0.00007841819,0.000103846,0.000009352691,0.00007655848,0.00002090835,0.0002018225,0.00003942419,0.0008066581],"category_scores_gemma":[0.0001464016,0.00002647003,0.0000571212,0.00006132131,0.0001514118,0.00007113882,0.00004263469,0.00005851707,0.00002441701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008675103,"about_ca_system_score_gemma":0.00000440836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007856131,"about_ca_topic_score_gemma":0.0001760588,"domain_scores_codex":[0.9994549,0.00007084122,0.0001183668,0.00013347,0.0001369303,0.00008554342],"domain_scores_gemma":[0.9985799,0.001184123,0.00008348474,0.00002874291,0.0001021296,0.00002168626],"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":[0.0002256647,0.0002551454,0.002272733,0.000003981479,0.0000439551,0.000007907993,0.00004548089,0.000007509511,0.939572,0.04184879,0.01438755,0.001329223],"study_design_scores_gemma":[0.0001627377,0.0001646146,0.5469458,0.00006027966,0.000007669514,0.000002100374,0.0001223782,0.000006779717,0.4027757,0.01363153,0.03603313,0.00008735678],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895074,0.000128478,0.000001487043,0.005436071,0.000470061,0.00009645015,0.0003821933,0.00002228356,0.003955546],"genre_scores_gemma":[0.9974027,0.00003332235,0.00001805921,0.0001695159,0.0002214631,0.0000268769,0.0002469968,6.289234e-7,0.001880428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.544673,"threshold_uncertainty_score":0.883234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205476599634126,"score_gpt":0.2313337090894001,"score_spread":0.2192789430930588,"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."}}