{"id":"W306382715","doi":"","title":"Trace mineral nutrition for poultry : : feed science","year":2014,"lang":"fr","type":"article","venue":"Upea Uusimaa","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Trace Minerals; TRACE (psycholinguistics); Trace mineral; Mineral; Environmental science; Natural resource economics; Chemistry; Food science; Biology; Ecology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001029141,0.0005807755,0.0007363991,0.001278911,0.0003835369,0.001435333,0.000649415,0.001412124,0.006293676],"category_scores_gemma":[0.0004702678,0.000138308,0.000198021,0.001254065,0.000688675,0.001331279,0.0006977634,0.0009731937,0.002517212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211568,"about_ca_system_score_gemma":0.001457509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004066571,"about_ca_topic_score_gemma":0.004416548,"domain_scores_codex":[0.999804,0.00003787906,0.00002069928,0.00003828849,0.00008096719,0.00001827045],"domain_scores_gemma":[0.9995717,0.0000684353,0.00006408981,0.0000215408,0.0002170994,0.00005700821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005740846,0.0002063697,0.001465651,0.00535793,0.00004021775,0.0001621705,0.00009817926,0.000567445,0.05112475,0.007962903,0.02644229,0.905998],"study_design_scores_gemma":[0.00004286669,0.001331232,0.009115741,0.002435266,0.0001045489,0.001543208,0.0003624831,0.001038638,0.03502051,0.01578141,0.9331676,0.00005637203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009887547,0.9534143,0.006662089,0.01304881,0.002971611,0.0000359452,0.0003296338,0.0001229686,0.01352709],"genre_scores_gemma":[0.06539859,0.8929675,0.007200405,0.001934167,0.00312034,0.00004893304,0.0004930716,0.00005186673,0.02878512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006293676,"threshold_uncertainty_score":0.02105445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140745480034859,"score_gpt":0.249105351724423,"score_spread":0.2276978969240744,"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."}}