{"id":"W2189093138","doi":"","title":"BUILDING BRANDS: SUPPLY CHAIN ALLIANCES IN THE CANADIAN BEEF INDUSTRY","year":2004,"lang":"en","type":"article","venue":"","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Supply chain; Chain (unit); Commerce; Beef industry; Marketing; Industrial organization; Agricultural economics; Economics","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":[0.001219464,0.0001797774,0.00009577745,0.001410918,0.01066098,0.005935673,0.0007391393,0.001215572,0.01458132],"category_scores_gemma":[0.003265121,0.0001784184,0.000174817,0.00308691,0.003269012,0.003455956,0.002384468,0.001111169,0.0005171924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03303022,"about_ca_system_score_gemma":0.04127574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.90295,"about_ca_topic_score_gemma":0.9721266,"domain_scores_codex":[0.9991068,0.0001490851,0.00001251176,0.00006196404,0.0002397477,0.0004298668],"domain_scores_gemma":[0.9981622,0.0002620776,0.0001819326,0.00006838052,0.0004424705,0.0008828416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002922293,0.0002983488,0.1030309,0.0001983028,0.00003798683,0.0009971778,0.05910518,0.005094204,0.001748847,0.4535248,0.05103705,0.3246351],"study_design_scores_gemma":[0.00005379823,0.0001520688,0.242211,0.0002803585,0.000111054,0.0003489823,0.2319293,0.008248378,0.001547244,0.05264626,0.4623545,0.0001170801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.680244,0.001513359,0.002548471,0.01101443,0.00007351192,0.0001009391,0.0002281042,0.0000782543,0.3041989],"genre_scores_gemma":[0.9808717,0.0005142738,0.001090158,0.0001398473,0.000008986397,0.000007385934,0.00005923889,0.000007406178,0.01730093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09704995,"threshold_uncertainty_score":0.2396522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029721251164928,"score_gpt":0.2347038661805013,"score_spread":0.2144066536688521,"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."}}