{"id":"W2915223370","doi":"10.1017/s1751731119000211","title":"Impact of diet management and composition on vitamin B12 concentration in milk of Holstein cows","year":2019,"lang":"en","type":"article","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada; Valacta (Canada)","funders":"Fonds de Recherche du Québec - Santé; Ministère de la Santé et des Services sociaux; Fonds de recherche du Québec – Nature et technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; FMC Corporation","keywords":"Milking; Vitamin B12; Morning; Animal science; Lactation; Food science; Evening; Composition (language); Chemistry; Hay; Biology; Biochemistry; Botany; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003554844,0.00004284401,0.00009762254,0.000007392529,0.000009896275,0.000003013492,0.00002960243,0.00002482746,0.00005972804],"category_scores_gemma":[0.000001511,0.00001775086,0.0000282015,0.00006945241,0.00002951752,0.00003886365,0.00001246365,0.00002168495,0.000005714622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008671001,"about_ca_system_score_gemma":9.664717e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009288918,"about_ca_topic_score_gemma":0.00001140001,"domain_scores_codex":[0.9996642,0.00003089293,0.00009708843,0.00009165719,0.00004826277,0.00006785659],"domain_scores_gemma":[0.9998656,0.00004107595,0.00004683859,0.00001607279,0.0000151659,0.00001523417],"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":[0.0004902798,0.0001366943,0.124022,0.000009258702,0.000003890827,7.248682e-7,0.00001569795,0.000003049278,0.8732238,0.001222612,0.00005604277,0.0008159659],"study_design_scores_gemma":[0.0002904498,0.002914936,0.9758798,0.00003298859,0.000001921794,4.039345e-7,0.00004789563,0.00006439206,0.02061319,0.00009052454,0.00002727149,0.00003623874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988367,0.00002346409,2.414181e-7,0.00008432553,0.00001300358,0.0001425008,0.00002464059,0.000003053412,0.0008720733],"genre_scores_gemma":[0.9998599,0.00003497959,0.00001108262,0.00002279074,0.000008792112,0.000002195466,0.00004201771,2.086499e-7,0.00001800189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8526106,"threshold_uncertainty_score":0.07238588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351648866346531,"score_gpt":0.2440390571551941,"score_spread":0.2305225684917288,"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."}}