{"id":"W2623198377","doi":"","title":"Economics of Production and Marketing of Farm Products in Canada","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Business; Agricultural economics; Marketing; Agricultural science; Economics; Microeconomics; Environmental science","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":[0.0008893327,0.0002656567,0.0004657531,0.001818102,0.003397047,0.005378842,0.0009680746,0.001057913,0.008198349],"category_scores_gemma":[0.003476932,0.0003952934,0.0005184435,0.003929623,0.001839727,0.001034818,0.0008166116,0.001086954,0.0002508589],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.17389,"about_ca_system_score_gemma":0.08420358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967737,"about_ca_topic_score_gemma":0.9984539,"domain_scores_codex":[0.9986406,0.0001522187,0.00002992937,0.00009415463,0.0004526915,0.0006303794],"domain_scores_gemma":[0.9973961,0.00071089,0.0002906076,0.00004258775,0.0008545405,0.0007053469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0017833,0.0009100062,0.3548579,0.0007286711,0.0005008188,0.00232415,0.003890501,0.08223835,0.003679671,0.3935776,0.05041682,0.1050921],"study_design_scores_gemma":[0.0003480922,0.0002202837,0.7557227,0.0004054517,0.0003806477,0.0004739072,0.01520527,0.09080867,0.001507559,0.03949217,0.09520449,0.0002307653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024037,0.007937429,0.0007570864,0.01481824,0.00005509962,0.00009404179,0.003182941,0.00004820646,0.07070331],"genre_scores_gemma":[0.9817727,0.002218131,0.0002682081,0.0002567045,0.00001261012,0.000008302603,0.0003278764,0.000008636019,0.01512675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17389,"threshold_uncertainty_score":0.9581705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860764474024401,"score_gpt":0.1552620578772741,"score_spread":0.1464012934032497,"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."}}