{"id":"W2340573830","doi":"10.3168/jds.2015-10758","title":"Selenium-fertilized forage as a way to supplement lactating dairy cows","year":2016,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Agriculture and Agri-Food Canada; Université Laval","funders":"Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Natural Sciences and Engineering Research Council of Canada; Université Laval; Université de Montréal; Dairy Farmers of Canada","keywords":"Forage; Selenium; Animal science; Dairy cattle; Milk production; Lactation; Biology; Agronomy; Chemistry; 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":[0.003186159,0.0001924023,0.0003833926,0.0002834604,0.0003060714,0.0001357532,0.001091443,0.00007425793,0.0003505667],"category_scores_gemma":[0.002222408,0.0001048494,0.0001429929,0.0007857802,0.0002760652,0.000745642,0.0001680334,0.0002054695,0.0001569504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004540621,"about_ca_system_score_gemma":0.0001261523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003411317,"about_ca_topic_score_gemma":0.00001226129,"domain_scores_codex":[0.9966965,0.0001721265,0.0009028363,0.0003703141,0.00116532,0.0006929078],"domain_scores_gemma":[0.9977041,0.0005150553,0.0005888701,0.0003158957,0.0003873987,0.0004886804],"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":[0.0005100137,0.00006554122,0.007832271,0.00001111723,0.000008911739,0.00001138322,0.0009185279,0.00001305103,0.9746439,0.00009293085,0.005452341,0.01043996],"study_design_scores_gemma":[0.004224105,0.004383855,0.07297313,0.0008865111,0.00005148444,0.0008934509,0.002056487,0.0001916699,0.8398346,0.001601572,0.07219861,0.0007045057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876681,0.00007428715,0.001437398,0.007067983,0.002485622,0.0002885847,0.000009777666,0.00003919228,0.0009290322],"genre_scores_gemma":[0.9908347,0.000003547657,0.007617938,0.0008888143,0.0004249485,0.000006028887,2.960053e-7,0.00001345169,0.0002102643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348093,"threshold_uncertainty_score":0.4275635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133550813425216,"score_gpt":0.3132376676514082,"score_spread":0.281902159517156,"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."}}