{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003726491,0.0000992421,0.0001767036,0.00001287488,0.00006616647,0.00001784459,0.00014777,0.00004287744,0.0000347248],"category_scores_gemma":[0.0001429584,0.00002696079,0.00002660319,0.0003301209,0.00008946957,0.0001047717,0.000057839,0.00004234743,0.000001173392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009325504,"about_ca_system_score_gemma":0.00006924623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.140574,"about_ca_topic_score_gemma":0.8884352,"domain_scores_codex":[0.9990734,0.00003834831,0.0002920382,0.0003295542,0.0000775367,0.0001891196],"domain_scores_gemma":[0.9994965,0.00007192387,0.0002103363,0.00005554311,0.0001141358,0.00005153051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001981737,0.00002973611,0.04471211,0.00003047522,0.00000762192,3.447052e-7,0.00009401036,0.00001305962,0.8918839,0.0004587587,0.003312219,0.05943796],"study_design_scores_gemma":[0.00009624974,0.00002849525,0.8854153,0.0001051965,0.000006026083,0.000008845811,0.0007912004,0.0000047188,0.09452897,0.000155403,0.01867297,0.0001866402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959692,0.0001309783,3.616226e-8,0.002966834,0.0003294089,0.0001725381,0.00009026841,0.000004768513,0.0003359477],"genre_scores_gemma":[0.9984233,0.00008665001,0.0000330744,0.00001213783,0.0001148368,0.00000424993,0.00001489592,4.236584e-7,0.001310432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8407032,"threshold_uncertainty_score":0.865149,"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."}}