{"id":"W3158843731","doi":"10.3390/ani11051320","title":"Toward Precision Feeding Regarding Minerals: What Is the Current Practice in Commercial Dairy Herds in Québec, Canada?","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Cégep de Sherbrooke; Agriculture and Agri-Food Canada","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","keywords":"Forage; Animal science; Herd; Lactation; Trace mineral; Phosphorus; Trace Minerals; Dairy cattle; Zinc; Confidence interval; Chemistry; Biology; Agronomy; Medicine; Pregnancy; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002402423,0.0002921032,0.0002954108,0.001086164,0.001786375,0.001845501,0.001782296,0.0004959133,0.0017203],"category_scores_gemma":[0.004245047,0.000166908,0.000222602,0.003666207,0.001227472,0.0006879262,0.0004667304,0.0003356663,0.0002433558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02466135,"about_ca_system_score_gemma":0.02705562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987995,"about_ca_topic_score_gemma":0.9923174,"domain_scores_codex":[0.9984182,0.0002679497,0.0001028625,0.0003170262,0.0006202432,0.0002737308],"domain_scores_gemma":[0.9948757,0.000432626,0.001003036,0.0001707456,0.00300018,0.0005177776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001904984,0.00004957959,0.8812764,0.0003237299,0.00009624287,0.0001619839,0.00258492,0.0004932,0.001520098,0.0004174998,0.004440772,0.1084451],"study_design_scores_gemma":[0.000008287131,0.00005614002,0.9900978,0.0001426297,0.00003123688,0.00008688223,0.003317671,0.000593734,0.0001952745,0.00005999315,0.0053913,0.00001914102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717535,0.01000408,0.001618244,0.006602235,0.00004790859,0.00005953009,0.002721295,0.0000792954,0.007113894],"genre_scores_gemma":[0.9910628,0.002924858,0.002634924,0.00070342,0.00001311018,0.00002085248,0.000798539,0.00001354709,0.001827914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02466135,"threshold_uncertainty_score":0.1789314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422071586910704,"score_gpt":0.2727390117559724,"score_spread":0.2485182958868654,"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."}}