{"id":"W2550336312","doi":"10.22004/ag.econ.289932","title":"Status and Competitive Impacts of Ethanol Development on Canadian Livestock Industries","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Natural resource economics; Business; Agricultural economics; Economics; Geography; Forestry","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":[0.0007607946,0.0001942872,0.000174523,0.00207639,0.00201523,0.002384142,0.000788825,0.0005555464,0.006049505],"category_scores_gemma":[0.003160861,0.0001168723,0.0003556298,0.003017625,0.0009514654,0.0007700022,0.0009945229,0.0006393368,0.0002365579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03747286,"about_ca_system_score_gemma":0.02287482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840956,"about_ca_topic_score_gemma":0.9956253,"domain_scores_codex":[0.9992763,0.00004694326,0.00002250949,0.00004031315,0.0002470092,0.000366782],"domain_scores_gemma":[0.9950398,0.0004430955,0.0007077322,0.00005921356,0.002456415,0.001293849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000790633,0.0001924688,0.9490082,0.00007200638,0.00007985552,0.0004166635,0.001201875,0.002337723,0.0008470719,0.0131452,0.004562101,0.02734624],"study_design_scores_gemma":[0.00001561485,0.00004472453,0.98462,0.00003559781,0.00004416656,0.00004514897,0.004873648,0.001020384,0.0003075267,0.0004945305,0.008477078,0.00002155053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726731,0.001116571,0.00004429798,0.001827998,0.00001264835,0.00001169564,0.002201451,0.000004876373,0.02210739],"genre_scores_gemma":[0.9953257,0.00065752,0.0000276394,0.00007937455,0.000005836701,0.000001504551,0.0005693273,0.000001568837,0.003331628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03747286,"threshold_uncertainty_score":0.2718859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307014346979585,"score_gpt":0.2051637313453589,"score_spread":0.172093587875563,"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."}}