{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004365616,0.0002693672,0.0001631618,0.000402156,0.0003079506,0.0002938366,0.0001716413,0.0001270323,0.002293007],"category_scores_gemma":[0.0003880851,0.0001260314,0.0001344184,0.0002310088,0.0002706146,0.0001561773,0.0002929047,0.0001908714,0.0003555464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003074082,"about_ca_system_score_gemma":0.0001640407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006046092,"about_ca_topic_score_gemma":0.02889075,"domain_scores_codex":[0.9997171,0.00005900085,0.0000178239,0.00008388919,0.00007487818,0.00004726685],"domain_scores_gemma":[0.9995577,0.00004113473,0.0001413429,0.00003407167,0.00008438409,0.0001414626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002682001,0.000791989,0.5430455,0.0001126279,0.0001595168,0.0004617433,0.003241348,0.0001377985,0.4224012,0.0002392837,0.0001906369,0.02653636],"study_design_scores_gemma":[0.0000119834,0.00171189,0.9920375,0.000006042534,0.00003090641,0.000238763,0.0007401611,0.00008573299,0.004528764,0.00001627451,0.0005866293,0.000005179461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997316,0.00001309031,0.00003362143,0.000002151575,6.266794e-7,0.000003622156,0.00002341388,7.357706e-7,0.0001911214],"genre_scores_gemma":[0.9978616,0.00003463361,0.0003669742,0.00001831252,0.000001752125,0.00001158641,0.0001489213,0.000003373523,0.001552861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006046092,"threshold_uncertainty_score":0.01202178,"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."}}