{"id":"W7056615647","doi":"","title":"FED AND NON-FED CATTLE PRODUCTION RETURNS IN RELATION TO TRADE FLOW","year":2004,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Consumption (sociology); Maximization; Investment (military); Terms of trade; Government (linguistics); Linear programming","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005172089,0.000067036,0.0001024926,0.0001020612,0.00005191465,0.000008672416,0.00006549944,0.00005653175,0.00001671889],"category_scores_gemma":[0.00001030464,0.00008937595,0.00002087716,0.000248186,0.00001936912,0.0002506203,0.0000221456,0.00008310324,0.000009692289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156042,"about_ca_system_score_gemma":0.00001383261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122787,"about_ca_topic_score_gemma":0.001068085,"domain_scores_codex":[0.9996018,0.000005413614,0.00006661586,0.0001317975,0.00007514701,0.0001191621],"domain_scores_gemma":[0.9997973,0.000005094136,0.00001706561,0.0001107092,0.00001302435,0.00005680951],"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":[0.0004723009,0.0004439555,0.09522048,0.0005993925,0.000154374,0.0001292833,0.04318072,0.4906106,0.3334599,0.0008458692,0.003468537,0.03141466],"study_design_scores_gemma":[0.001006199,0.00009952427,0.9513886,0.00009880591,0.00001918076,0.000007001897,0.001075796,0.0403193,0.005227414,0.0002583903,0.0002780532,0.0002217181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997749,0.00002561598,0.00102924,0.0005181692,0.00008577711,0.0001385791,0.00001332908,0.00005655099,0.0003836819],"genre_scores_gemma":[0.9976455,0.00001635427,0.002246601,0.000006437086,0.00001841204,3.059552e-7,0.00001379284,0.000008134806,0.00004446997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8561682,"threshold_uncertainty_score":0.3644646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009608607344557596,"score_gpt":0.1814083287968344,"score_spread":0.1717997214522768,"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."}}