{"id":"W4396834067","doi":"10.21423/aabppro20238928","title":"Trace mineral testing in Ontario cow-calf operations","year":2024,"lang":"en","type":"article","venue":"Texas A&M University Libraries","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; Merck Canada Inc. (Canada); University of Guelph","funders":"","keywords":"Trace mineral; TRACE (psycholinguistics); Trace Minerals; Mineral; Environmental science; Geology; Animal science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005601681,0.000198257,0.0001655658,0.001075865,0.002119111,0.0006491232,0.0004871965,0.0003431032,0.002124271],"category_scores_gemma":[0.001701739,0.0002169412,0.0001640908,0.001116856,0.0007339438,0.0001869037,0.0004959119,0.0003185785,0.0001716717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01029364,"about_ca_system_score_gemma":0.009466517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.822001,"about_ca_topic_score_gemma":0.9509709,"domain_scores_codex":[0.9992433,0.00006709356,0.00003846434,0.00006883572,0.0004189598,0.0001633943],"domain_scores_gemma":[0.998763,0.0001397966,0.0002599478,0.00002853246,0.0005778458,0.0002310196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003221335,0.0001871843,0.9483416,0.0001373565,0.00002596417,0.00304423,0.006813049,0.0001555767,0.01258411,0.0001403084,0.001152633,0.02709572],"study_design_scores_gemma":[0.000008520558,0.0004553882,0.9820241,0.00005854746,0.00002049088,0.0008945361,0.008059863,0.0001877341,0.001900113,0.00005918091,0.006316828,0.0000146871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934905,0.0002697462,0.0001716414,0.0002401049,0.000009800273,0.00004727684,0.0003073936,0.00001002761,0.005453446],"genre_scores_gemma":[0.9925217,0.00055072,0.0009018961,0.0002150581,0.000007095839,0.00001711792,0.0003021247,0.00000743971,0.005476804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.177999,"threshold_uncertainty_score":0.3580945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379709105552638,"score_gpt":0.1830912858492112,"score_spread":0.1592941947936848,"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."}}