{"id":"W2171211086","doi":"10.1016/j.anifeedsci.2006.06.005","title":"Some methodological and analytical considerations regarding application of the gas production technique","year":2006,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Rumen; Fermentation; Gas composition; Volume (thermodynamics); Production (economics); Methane; Gas chromatography; Mathematics; Smoothing; Chemistry; Biological system; Food science; Biochemical engineering; Chromatography; Thermodynamics; Biology; Statistics; Physics; Engineering; Organic chemistry","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":[0.0004973302,0.00006538299,0.00012912,0.00005017787,0.0003958401,0.00001996225,0.0001155638,0.00009882859,0.000003536754],"category_scores_gemma":[0.0005552829,0.00002423447,0.00001770434,0.0008274007,0.00188702,0.000138082,0.0001210922,0.0001000187,7.063707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001147963,"about_ca_system_score_gemma":0.00001329251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006485188,"about_ca_topic_score_gemma":0.00003361383,"domain_scores_codex":[0.99924,0.00004773194,0.0001449105,0.0003016064,0.0001120803,0.0001536194],"domain_scores_gemma":[0.9995527,0.00012196,0.00007269943,0.00005926166,0.0001702858,0.0000230381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005132543,0.00002127242,0.006771282,0.000001402558,5.95553e-7,2.038977e-7,0.000001440989,2.338163e-7,0.7497987,0.2413094,0.00005596756,0.00203436],"study_design_scores_gemma":[0.00006605629,0.0002734545,0.3028329,0.000009654256,0.000009286898,0.0001102786,0.0001306219,0.0002228388,0.4364189,0.2591545,0.0006783631,0.00009311379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795195,0.0001060165,0.00002930641,0.01980549,0.00002010518,0.0002406049,0.000002698641,0.00004834133,0.0002278777],"genre_scores_gemma":[0.9990979,0.00002934502,0.0006979739,0.00007752433,0.00005232617,0.00003344998,0.000001133771,3.335232e-7,0.0000100001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133798,"threshold_uncertainty_score":0.6952804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04267643339149203,"score_gpt":0.283522061563497,"score_spread":0.240845628172005,"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."}}