{"id":"W2955059501","doi":"10.1093/tas/txz107","title":"Benchmarking calving management practices on western Canada cow–calf operations1","year":2019,"lang":"en","type":"article","venue":"Translational Animal Science","topic":"Animal health and immunology","field":"Veterinary","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council; Alberta Agriculture and Forestry; University of Calgary","keywords":"Benchmarking; Ice calving; Cow-calf; Animal science; Business; Biology; Lactation; Pregnancy; Herd; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003666682,0.0001094861,0.0001040853,0.00008020992,0.0004224983,0.0000610721,0.0002965765,0.00003028722,0.0007849222],"category_scores_gemma":[0.00002604825,0.00009913298,0.0000214296,0.0003060221,0.0001086847,0.0005249309,0.00003910877,0.000150997,0.0002212534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434809,"about_ca_system_score_gemma":0.0005586713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04696806,"about_ca_topic_score_gemma":0.05008159,"domain_scores_codex":[0.9984291,0.00004241824,0.0002214015,0.0003829676,0.0005572066,0.000366939],"domain_scores_gemma":[0.9994103,0.0001699807,0.0001152642,0.0001394246,0.00007051846,0.00009445359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007541766,0.000492394,0.5837379,0.0004006421,0.00009085759,0.0003091452,0.001798136,0.001094764,0.1346657,0.2446345,0.0009151035,0.02431908],"study_design_scores_gemma":[0.0002761934,0.001104351,0.978354,0.00003951715,0.000006036477,0.00004021621,0.0001193984,0.005325245,0.00007157323,0.00005814221,0.01444377,0.000161515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652595,0.00006692019,0.00008937005,0.002059039,0.0002621567,0.0002788699,0.00001253646,0.00002440058,0.03194722],"genre_scores_gemma":[0.9976504,0.000007849908,0.0008854424,0.0009874905,0.0000670739,0.00001179818,0.00000925861,0.000006535416,0.0003741849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3946161,"threshold_uncertainty_score":0.967252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569183784721322,"score_gpt":0.3637808314574185,"score_spread":0.2980889936102053,"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."}}