{"id":"W163192670","doi":"","title":"Meat Production: Crisis crunch in Canada","year":2009,"lang":"en","type":"article","venue":"Fleischwirtschaft international","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crunch; Production (economics); Business; Financial crisis; Credit crunch; Financial system; Economics; Keynesian economics; Medicine; Macroeconomics","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":[0.0004800711,0.0003477514,0.0004007845,0.001313225,0.004649083,0.002882864,0.001352476,0.001712206,0.006584418],"category_scores_gemma":[0.001621145,0.0003616539,0.0003611173,0.003411491,0.001941122,0.0008811892,0.002089928,0.001744393,0.0003777825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06109523,"about_ca_system_score_gemma":0.06359985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961856,"about_ca_topic_score_gemma":0.998569,"domain_scores_codex":[0.999169,0.00002878051,0.00001575806,0.00005323485,0.0001746423,0.0005586927],"domain_scores_gemma":[0.9978229,0.00007392847,0.0002872448,0.00003485958,0.0006964672,0.001084656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002001842,0.0003975981,0.8699673,0.0002404889,0.0002343345,0.005819172,0.01792673,0.004698437,0.002343922,0.006678997,0.04708485,0.04260632],"study_design_scores_gemma":[0.00002320234,0.00005177939,0.9634141,0.00004413616,0.00001625006,0.0001050393,0.02219409,0.001244367,0.0001700122,0.0002470916,0.0124577,0.00003217282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859103,0.0004335002,0.00005586048,0.005729801,0.00003672473,0.00002127829,0.002075449,0.00001934036,0.005717858],"genre_scores_gemma":[0.9911526,0.0004239417,0.00004867746,0.0005010111,0.00001345717,0.000007102492,0.0007364751,0.000009565124,0.007107231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06109523,"threshold_uncertainty_score":0.443279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008116596674901704,"score_gpt":0.2008140961670755,"score_spread":0.1926974994921738,"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."}}