{"id":"W2990217147","doi":"","title":"Vertical Coordination and Competition in North Americas Beef Value Chain: Evidence from Canada","year":2014,"lang":"en","type":"article","venue":"","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Competition (biology); Value (mathematics); Chain (unit); Business; Geography; Ecology; Biology; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408302,0.0002015473,0.0004611243,0.00204579,0.003548733,0.003323721,0.001059172,0.0008706826,0.005053351],"category_scores_gemma":[0.007931054,0.0003751826,0.0003575986,0.005605817,0.00259219,0.001111329,0.001121087,0.0009019089,0.000280269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03161289,"about_ca_system_score_gemma":0.02600111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911278,"about_ca_topic_score_gemma":0.9953467,"domain_scores_codex":[0.9985423,0.0001679797,0.00004979612,0.0002103059,0.0004985873,0.0005309854],"domain_scores_gemma":[0.9874456,0.003227642,0.00246559,0.0003991809,0.004716626,0.001745317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006907834,0.0003532604,0.9368821,0.0001295092,0.000279561,0.0004280519,0.004698705,0.004110312,0.0007670019,0.01220292,0.007823076,0.03163464],"study_design_scores_gemma":[0.00009408097,0.00006857074,0.9775395,0.0001034056,0.0001242744,0.00004776165,0.01026965,0.002944127,0.0002885901,0.001955815,0.006521023,0.0000432963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861344,0.0008970158,0.0001983788,0.001105387,0.000008917398,0.00002427294,0.0007208934,0.000007090104,0.01090376],"genre_scores_gemma":[0.996622,0.000506106,0.0001733588,0.0001191984,0.000005629562,0.00000567444,0.000492234,0.00000363275,0.002072279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03161289,"threshold_uncertainty_score":0.2293686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607812729075904,"score_gpt":0.186245532680942,"score_spread":0.170167405390183,"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."}}