{"id":"W308848639","doi":"","title":"Kill and Chill: Restructuring Canada's Beef Commodity Chain","year":2005,"lang":"en","type":"article","venue":"British Journal of Canadian Studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Commodity chain; Restructuring; Commodity; Business; Chain (unit); Commerce; Economics; Finance; Microeconomics; Production (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":[0.001653069,0.0003097139,0.0002056455,0.00131098,0.02703514,0.00896588,0.001976971,0.004182474,0.01339698],"category_scores_gemma":[0.004483597,0.0003295439,0.0002450064,0.002236728,0.01109333,0.002852419,0.003262831,0.004659199,0.0005934374],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1468057,"about_ca_system_score_gemma":0.2151117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947687,"about_ca_topic_score_gemma":0.9984165,"domain_scores_codex":[0.9976146,0.000223058,0.00002017768,0.0001215767,0.000484848,0.001535708],"domain_scores_gemma":[0.9972335,0.0002671169,0.0001356705,0.0001041152,0.0008985102,0.00136123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003746188,0.0002433787,0.05489171,0.0001695287,0.00005226455,0.001855402,0.1718229,0.002509018,0.00235957,0.4081711,0.2183976,0.139153],"study_design_scores_gemma":[0.00003385895,0.00007055087,0.09813697,0.0001915879,0.0000430054,0.0001459612,0.2796098,0.0006641317,0.0005706585,0.0115695,0.608861,0.0001029721],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6078322,0.002219263,0.0008541756,0.09593493,0.0006677834,0.00008182396,0.000369457,0.00006385675,0.2919765],"genre_scores_gemma":[0.9122825,0.0008028785,0.0004258729,0.00689959,0.00006248838,0.00001425898,0.00009218141,0.00003005999,0.07939009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1468057,"threshold_uncertainty_score":0.9895844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544255086868748,"score_gpt":0.229973126823016,"score_spread":0.2145305759543285,"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."}}