{"id":"W2943237429","doi":"10.1139/cjas-2016-0231","title":"Performance, carcass characteristics, and centesimal composition of meat from Santa Inês lambs and Texel crossbred lambs (Santa Inês × Texel)","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Goiás; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Texel; Crossbreed; Breed; Animal science; Biology; Carcass weight; Ile de france; Completely randomized design; Heterosis; Body weight; Hybrid; Endocrinology; Humanities","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003402522,0.0003212588,0.000275475,0.0006204729,0.0002010015,0.00029695,0.0001331091,0.0002205378,0.001023799],"category_scores_gemma":[0.0004423323,0.0001646021,0.0001628322,0.0001593529,0.0002852494,0.0001872608,0.0002705485,0.0002173955,0.0003152649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124907,"about_ca_system_score_gemma":0.0001122797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065005,"about_ca_topic_score_gemma":0.005213355,"domain_scores_codex":[0.9998166,0.00002536413,0.00001743705,0.00006464947,0.00004064029,0.00003541256],"domain_scores_gemma":[0.9995031,0.00006313882,0.0001378382,0.00004591507,0.00008698536,0.0001629404],"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":[0.00501923,0.0008906769,0.328834,0.00005062925,0.0001141909,0.0009081716,0.001581771,0.0001410275,0.6493602,0.00006146399,0.0001110178,0.01292763],"study_design_scores_gemma":[0.00001283732,0.001301172,0.9908592,0.000004407134,0.00002976321,0.0005334215,0.0004104328,0.0001708,0.006375991,0.00000748845,0.0002877698,0.000006681913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998558,0.0000141341,0.00002469019,0.000001780266,6.357523e-7,0.000001524547,0.00002684359,6.332641e-7,0.00007400099],"genre_scores_gemma":[0.9979573,0.00003230156,0.0002106419,0.00001164457,0.000002718159,0.000007792444,0.0002849633,0.000003485017,0.001489065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002065005,"threshold_uncertainty_score":0.004105985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009928707806785241,"score_gpt":0.2266430265910432,"score_spread":0.216714318784258,"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."}}