{"id":"W2915915575","doi":"10.31442/0235-2494-2019-0-1-78-83","title":"Pricing Factors in the Food Markets in the 3-rd Quarter of 2018","year":2019,"lang":"en","type":"article","venue":"Economy of agricultural and processing enterprises","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Agricultural economics; Marketing; Economics; Geography","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":[0.00081619,0.0001461272,0.0002586059,0.0007239939,0.0004116362,0.003128747,0.0003149051,0.0008679765,0.0054624],"category_scores_gemma":[0.00619705,0.0001495429,0.0003968486,0.001083862,0.0003653351,0.001886692,0.0004411306,0.001198174,0.0007276724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935425,"about_ca_system_score_gemma":0.0007157926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02700273,"about_ca_topic_score_gemma":0.0297944,"domain_scores_codex":[0.9996575,0.00004718158,0.00002309155,0.00005349116,0.0001176797,0.0001009028],"domain_scores_gemma":[0.9981759,0.0005971961,0.0005473926,0.00004697965,0.0004179164,0.0002147074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00232292,0.000592282,0.6330226,0.0002029501,0.000130949,0.001652791,0.001606143,0.01350644,0.002452065,0.10942,0.1062525,0.1288383],"study_design_scores_gemma":[0.00007716599,0.0001582481,0.8906903,0.00009404548,0.0000627449,0.000362292,0.002572105,0.02886735,0.001079553,0.02080444,0.05515318,0.00007865276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624847,0.001758979,0.0009002668,0.006946682,0.0002648083,0.00001988185,0.002972411,0.0000569349,0.0245953],"genre_scores_gemma":[0.9921114,0.0003187695,0.0001405888,0.0001441172,0.0001008939,0.000005105634,0.000921482,0.00002072945,0.006236867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700273,"threshold_uncertainty_score":0.05369109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734896149054152,"score_gpt":0.2025558806226795,"score_spread":0.185206919132138,"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."}}