{"id":"W4212795679","doi":"10.1016/j.animal.2022.100469","title":"Predicting enteric methane emission in lactating Holsteins based on reference methane data collected by the GreenFeed system","year":2022,"lang":"en","type":"article","venue":"animal","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"","keywords":"Methane; Methane emissions; Chemistry; Partial least squares regression; Animal science; Coefficient of determination; Emission intensity; Environmental science; Statistics; Mathematics; 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":[0.0005847014,0.0005145698,0.0004175046,0.0002868486,0.0001425766,0.0003191592,0.0002933678,0.0004095841,0.0001995194],"category_scores_gemma":[0.0006262506,0.0001814378,0.0003942637,0.0001953561,0.0001128758,0.0001904865,0.0002177725,0.0001955406,0.0001095064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005083273,"about_ca_system_score_gemma":0.0002791412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736194,"about_ca_topic_score_gemma":0.02229531,"domain_scores_codex":[0.9998977,0.00002429978,0.000004901475,0.0000381829,0.00001539517,0.00001956628],"domain_scores_gemma":[0.9997761,0.0001092522,0.00003838145,0.00001573865,0.0000388023,0.00002167841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001919057,0.0003976251,0.591848,0.00008729693,0.0003790263,0.0001837427,0.0001765106,0.2885044,0.06227825,0.00008852878,0.0002775784,0.05386009],"study_design_scores_gemma":[0.0000252215,0.0008170541,0.3248887,0.00001041802,0.000110519,0.00005861587,0.00006814003,0.6610781,0.01255696,0.0001143187,0.0002451093,0.00002679973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982161,0.00003366543,0.001535342,0.000005688517,8.62625e-7,0.000002910579,0.0001079196,0.00002668575,0.00007088354],"genre_scores_gemma":[0.9962418,0.00004442654,0.002809667,0.000008769438,0.00000100002,0.000008479196,0.0006474485,0.000005238429,0.0002332431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01736194,"threshold_uncertainty_score":0.03452176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589760459491756,"score_gpt":0.2472490153044846,"score_spread":0.211351410709567,"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."}}