{"id":"W2116371385","doi":"10.1111/agec.12245","title":"On the nature and magnitude of cost economies in hog production","year":2016,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economies of scale; Marginal cost; Production (economics); Economics; Unit cost; Function (biology); Unit (ring theory); Scale (ratio); Factor price; Production function; Quadratic equation; Econometrics; Returns to scale; Microeconomics; Agricultural economics; Mathematics","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":[0.003071784,0.0003802717,0.0003673055,0.0007457152,0.0002054393,0.001327771,0.0003548681,0.0004045754,0.001748994],"category_scores_gemma":[0.01536199,0.0002582833,0.0006532734,0.0005869527,0.001270186,0.001276791,0.0007314257,0.0004790321,0.00006950679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262636,"about_ca_system_score_gemma":0.0005025862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875066,"about_ca_topic_score_gemma":0.0056967,"domain_scores_codex":[0.9986494,0.000784373,0.00004786639,0.0001270553,0.0002494589,0.0001419646],"domain_scores_gemma":[0.9794868,0.01718628,0.001775556,0.0007963276,0.0006022383,0.000152817],"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":[0.000722899,0.0001716512,0.2865517,0.000374965,0.0005237208,0.001350763,0.0004722366,0.5859296,0.008314005,0.06598037,0.0006761439,0.04893195],"study_design_scores_gemma":[0.00004255678,0.0002595723,0.7704555,0.00005902679,0.0001657046,0.0003665178,0.0008140343,0.1885304,0.002723292,0.03466426,0.001847931,0.00007125995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875569,0.0004846404,0.006506348,0.0002737965,0.000007221974,0.00001813202,0.0001243643,0.0000156546,0.005013015],"genre_scores_gemma":[0.9992164,0.00005653303,0.0005307,0.00001143443,0.000003755849,0.000004428174,0.00002692908,0.00000285374,0.0001468611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004875066,"threshold_uncertainty_score":0.01624537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024082474725448,"score_gpt":0.1840847930490585,"score_spread":0.173843968301804,"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."}}