{"id":"W2072404206","doi":"10.1071/ea05211","title":"Impact of animal health and welfare research within the CRC for Cattle and Beef Quality on Australian beef production","year":2006,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"NSW Department of Primary Industries; Commonwealth Scientific and Industrial Research Organisation","keywords":"Beef cattle; Feedlot; Welfare; Animal welfare; Business; Animal husbandry; Veterinary medicine; Livestock; Agriculture; Biotechnology; Environmental health; Agricultural science; Biology; Animal science; Medicine; Political science; Ecology","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":[0.01164573,0.0002983997,0.0005355722,0.000914151,0.0009019713,0.001332939,0.0007357772,0.0006703393,0.003869218],"category_scores_gemma":[0.01217075,0.0001717229,0.0004520686,0.001340165,0.001375363,0.0007411222,0.001127415,0.0007815962,0.0002635258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005017378,"about_ca_system_score_gemma":0.007854618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07604279,"about_ca_topic_score_gemma":0.1101073,"domain_scores_codex":[0.9903151,0.005059916,0.00031972,0.0005112861,0.003256727,0.0005371931],"domain_scores_gemma":[0.9819139,0.005329502,0.003402814,0.0009063887,0.006311377,0.002135949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006639624,0.000775837,0.1378445,0.005224983,0.0003322958,0.0006909561,0.007138866,0.001097902,0.02338598,0.006529646,0.008964357,0.8073507],"study_design_scores_gemma":[0.00001232443,0.00101205,0.9756687,0.0007066155,0.00009970707,0.0001594173,0.00157132,0.000253093,0.001073071,0.0006927783,0.01872617,0.00002483442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8259138,0.08404356,0.002633794,0.04217387,0.0006595011,0.0002341041,0.0006320539,0.00006913613,0.04364023],"genre_scores_gemma":[0.9342905,0.04873429,0.004575661,0.003507494,0.0003061031,0.0001096781,0.0002095304,0.00001946425,0.008247404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07604279,"threshold_uncertainty_score":0.1512004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564021591622396,"score_gpt":0.4628331851787921,"score_spread":0.3064310260165525,"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."}}