{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005377,0.0001179656,0.0001518849,0.00002376298,0.00008336476,0.0001138393,0.0002282902,0.00003740025,0.0000686298],"category_scores_gemma":[0.0002788112,0.0000908026,0.00003627215,0.0003473392,0.00003411818,0.0006139186,0.0003026002,0.0002448907,0.00002896037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721916,"about_ca_system_score_gemma":0.000127718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5445013,"about_ca_topic_score_gemma":0.8163378,"domain_scores_codex":[0.998625,0.0001443197,0.0002682661,0.0003018986,0.0003769816,0.0002834891],"domain_scores_gemma":[0.9993657,0.0002959786,0.00007350129,0.0001954267,0.00001437748,0.0000550146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008889374,0.0001561016,0.6952674,0.00001733495,0.000009753759,0.0001743972,0.006809899,0.0004733723,0.0003969572,0.00003188767,0.05034325,0.2462308],"study_design_scores_gemma":[0.0005995731,0.00003422836,0.2411043,0.0002456659,0.00001607096,0.00002739586,0.003899895,0.002652404,0.0006265223,0.0004598962,0.7500529,0.0002811551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592051,0.003546527,0.00001211054,0.03402821,0.0005074738,0.0001389251,0.000004397801,0.000008945809,0.002548318],"genre_scores_gemma":[0.9964641,0.001700932,0.0001178905,0.001479318,0.00007652935,0.00001335818,0.000004696543,0.00001049382,0.0001326711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6997097,"threshold_uncertainty_score":0.4585319,"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."}}