{"id":"W1484776355","doi":"10.22004/ag.econ.34105","title":"Systematic Breeding Decisions Made Within A Vertically Integrated Beef Supply Chain","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sire; Gross margin; Supply chain; Stock (firearms); Revenue; Business; Quality (philosophy); Agricultural science; Econometrics; Economics; Microeconomics; Production (economics); Animal science; Engineering; Biology; Marketing","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":[0.001541575,0.0002448593,0.0003118677,0.0002438619,0.0003247753,0.001036573,0.0004206965,0.0004369217,0.00228129],"category_scores_gemma":[0.004226162,0.0003844929,0.0001976337,0.0002727388,0.0003430345,0.001039666,0.0005610746,0.0004248123,0.0001445997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000859744,"about_ca_system_score_gemma":0.001181767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006512622,"about_ca_topic_score_gemma":0.01061899,"domain_scores_codex":[0.9993622,0.0003267071,0.00002034981,0.000103787,0.00008697027,0.0001000646],"domain_scores_gemma":[0.9985097,0.0007772308,0.0003466045,0.0001054538,0.0001496498,0.0001114033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005389861,0.0001868868,0.06513045,0.00004503879,0.00008453644,0.0003821344,0.000249599,0.8786671,0.00773401,0.01422076,0.0003928971,0.03236759],"study_design_scores_gemma":[0.00004403806,0.0003127512,0.01334496,0.00001442882,0.00003236669,0.00004729652,0.0001949311,0.9762942,0.0009660446,0.008215781,0.0005145753,0.00001866566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475744,0.00004823276,0.04932891,0.0001322765,0.000005930794,0.00005803818,0.00007526322,0.00003361209,0.002743311],"genre_scores_gemma":[0.9884683,0.00004632083,0.010086,0.00002177961,0.00000262656,0.00001896306,0.00006758797,0.000005584091,0.001282888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006512622,"threshold_uncertainty_score":0.01294941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381722374374355,"score_gpt":0.2117822573531455,"score_spread":0.17361001991571,"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."}}