{"id":"W4295884655","doi":"10.1016/j.animal.2022.100628","title":"Keeping profitable cows in the herd: A lifetime cost-benefit assessment to support culling decisions","year":2022,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; McGill University; Ste. Anne's Hospital","funders":"Agriculture and Agri-Food Canada; Dairy Farmers of Canada; Novalait; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Culling; Profitability index; Herd; Revenue; Business; Agricultural science; Production (economics); Operations management; Economics; Animal science; Biology; Finance","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":[0.0004351469,0.0001168906,0.0001108436,0.00003829135,0.0002464454,0.00003071609,0.0003995271,0.00004512896,0.0002194255],"category_scores_gemma":[0.00003627404,0.0001026943,0.00005690321,0.0001630173,0.00002150046,0.00000253633,0.000300925,0.0001788355,0.00001998759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718019,"about_ca_system_score_gemma":0.0001273166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003751804,"about_ca_topic_score_gemma":0.00004559671,"domain_scores_codex":[0.9988561,0.00008320026,0.000204917,0.0003189576,0.0002332686,0.0003035988],"domain_scores_gemma":[0.99952,0.00003958951,0.00004162477,0.0003028333,0.00002897063,0.00006697634],"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":[0.001792803,0.002558889,0.1467651,0.0000563735,0.0003249113,0.00008852087,0.009224311,0.1134627,0.484507,0.09742923,0.09269095,0.05109924],"study_design_scores_gemma":[0.001606759,0.006827139,0.5447112,0.00002675684,0.00005297892,0.0001418481,0.005403561,0.0003526507,0.00474921,0.002483119,0.4328718,0.0007729825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878216,0.0001513253,0.003876206,0.0006423881,0.0001260826,0.0005923833,0.00003933558,0.000008512122,0.006742213],"genre_scores_gemma":[0.9800403,0.000006410315,0.01673681,0.002055526,0.0001340808,0.0003321423,0.00007339674,0.00001717527,0.0006041355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4797578,"threshold_uncertainty_score":0.4187751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559369387357133,"score_gpt":0.3045306950490529,"score_spread":0.2789370011754815,"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."}}