{"id":"W3043325471","doi":"10.31677/2311-0651-2018-0-3-83-92","title":"USING BOARS OF CANADIAN BREEDING TO IMPROVE THE MEAT QUALITIES OF LARGE WHITE PIGS","year":2018,"lang":"en","type":"article","venue":"Innovations and Food Safety","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purebred; Breed; Large white; Animal science; Biology; Carcass weight; Veterinary medicine; Dual purpose; Body weight; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009335771,0.0009412007,0.0004611023,0.0006831129,0.00127407,0.0004796346,0.0005217469,0.0004104287,0.001139793],"category_scores_gemma":[0.0005164436,0.0003524531,0.0006467606,0.0002995449,0.0007639789,0.0002804975,0.0006015575,0.0006865371,0.000238411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031982,"about_ca_system_score_gemma":0.001821884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1697021,"about_ca_topic_score_gemma":0.3307822,"domain_scores_codex":[0.9992938,0.00007927273,0.00002433077,0.0002023049,0.0001604566,0.0002398672],"domain_scores_gemma":[0.9993353,0.0000668124,0.0001017622,0.00005706446,0.0001211592,0.0003178292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0054432,0.001683479,0.01946949,0.0001098429,0.0001318533,0.0004612016,0.001036467,0.0002732337,0.9578462,0.0003407921,0.0003302943,0.01287407],"study_design_scores_gemma":[0.0008112899,0.04443981,0.6469193,0.0001008064,0.001002076,0.00111891,0.002146396,0.001533366,0.2862839,0.0001438815,0.01527538,0.0002249121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989127,0.0001105337,0.0003214056,0.00003054989,0.00001221495,0.00007377878,0.00006257411,0.00001466857,0.0004614376],"genre_scores_gemma":[0.9818084,0.0006236058,0.005291144,0.0001760121,0.0000208553,0.0002028145,0.0008470817,0.00004269254,0.01098744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8302979,"threshold_uncertainty_score":0.3374287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06873345115373518,"score_gpt":0.2775424552503259,"score_spread":0.2088090040965907,"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."}}