{"id":"W7133382798","doi":"","title":"Evaluation of Brahmans and tropically adapted crossbreds and composites for economically important beef cattle traits","year":2007,"lang":"en","type":"other","venue":"RUNE (Research UNE)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Meat and Livestock Australia; McMaster University","keywords":"Brahman; Breed; Beef cattle; Crossbreed; Toughness; Humid subtropical climate","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00711214,0.0004363999,0.0008679581,0.00144546,0.0001706084,0.0001244412,0.000400116,0.0005639077,0.0009981],"category_scores_gemma":[0.0007853251,0.0004340633,0.0001264512,0.0005170901,0.001213494,0.0001091345,0.0001831437,0.000537677,0.00009147138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180864,"about_ca_system_score_gemma":0.0008786757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741965,"about_ca_topic_score_gemma":0.008851347,"domain_scores_codex":[0.9950497,0.0005005974,0.0008399888,0.0009154034,0.001767204,0.0009271302],"domain_scores_gemma":[0.9966517,0.0008506991,0.000423979,0.0004831238,0.001195768,0.0003947263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002680442,0.001742644,0.007113967,0.002183584,0.003188352,0.00002750267,0.002112547,0.00007786656,0.1869127,0.01934512,0.7121472,0.06246815],"study_design_scores_gemma":[0.03069354,0.004729334,0.3029014,0.002256682,0.002126297,0.00009739784,0.0006060233,0.03516933,0.01002094,0.008631125,0.5995709,0.003197108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5697716,0.04362935,0.001115341,0.001837362,0.0003780566,0.02181136,0.01089315,0.0007130377,0.3498507],"genre_scores_gemma":[0.798484,0.001822516,0.01682743,0.0001103117,0.001367504,0.0009549251,0.001968662,0.00459989,0.1738648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2957874,"threshold_uncertainty_score":0.9999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061797036831452,"score_gpt":0.4032255361382191,"score_spread":0.2970458324550739,"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."}}