{"id":"W2624629795","doi":"10.14202/vetworld.2017.623-629","title":"Study of morphology, chemical, and amino acid composition of red deer meat","year":2017,"lang":"en","type":"article","venue":"Veterinary World","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Chemistry; Food science; Composition (language); Chemical composition; Phenylalanine; Methionine; Tryptophan; Valine; Amino acid; Water content; Moisture; Essential amino acid; Biochemistry","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":[0.0001755796,0.0002526365,0.0001263207,0.0008668347,0.000146926,0.000294288,0.0001216529,0.0002541229,0.0005003731],"category_scores_gemma":[0.0001778501,0.0001265375,0.0001465645,0.000287102,0.000162942,0.0002562101,0.0001315763,0.0001214987,0.0001923371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009298052,"about_ca_system_score_gemma":0.00006029899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006017768,"about_ca_topic_score_gemma":0.0008966787,"domain_scores_codex":[0.9999036,0.00001269579,0.000009531208,0.00003040415,0.00002853798,0.00001526145],"domain_scores_gemma":[0.9997858,0.00001776859,0.00007987255,0.000007050856,0.00007477173,0.00003483162],"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":[0.0004517883,0.00005166941,0.1303725,0.000139729,0.00006676043,0.0003526692,0.0001777147,0.00008658148,0.8605712,0.00004218968,0.00003887133,0.007648328],"study_design_scores_gemma":[0.000008715288,0.0009324392,0.913321,0.00001960766,0.00007283365,0.002324156,0.0005048346,0.0004748422,0.08108684,0.00006931765,0.001171776,0.00001357437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987614,0.0004689462,0.0003680106,0.000005039793,0.000002653265,0.00000520402,0.00009833528,0.000004751441,0.0002855827],"genre_scores_gemma":[0.9963782,0.0005825305,0.001584801,0.0000327511,0.000009262909,0.00001169429,0.0003653738,0.000007535009,0.001027798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008668347,"threshold_uncertainty_score":0.001673937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103977380518257,"score_gpt":0.3075960602630289,"score_spread":0.1971983222112033,"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."}}