{"id":"W2637891555","doi":"","title":"Price Differentials in Wheat between Minneapolis and Winnipeg.","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agricultural economics; Economics","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":[0.0002550176,0.0001293519,0.0001867975,0.0008153469,0.0004937488,0.001186714,0.0004229443,0.0002316204,0.002211585],"category_scores_gemma":[0.001744025,0.0001729884,0.000129739,0.001955021,0.0004533998,0.0003230593,0.0006699964,0.0003285689,0.0001596669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00679721,"about_ca_system_score_gemma":0.002754992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9003591,"about_ca_topic_score_gemma":0.9672026,"domain_scores_codex":[0.9997597,0.00003313784,0.00001159913,0.00005921623,0.0000488447,0.00008743849],"domain_scores_gemma":[0.9995284,0.00005587575,0.0001387902,0.00001592383,0.0001245501,0.0001364288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001016358,0.00006849892,0.955111,0.00008619396,0.0001817309,0.000937623,0.00427427,0.001098046,0.004561227,0.007378635,0.00662202,0.01866451],"study_design_scores_gemma":[0.000005511507,0.00001100492,0.9961429,0.000005226403,0.000008178024,0.00003001321,0.001173441,0.0002063908,0.0001215301,0.0000777352,0.002214882,0.000003117638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939085,0.0003686817,0.0001263147,0.0005994142,0.00001787821,0.000008329332,0.002368137,0.000005945125,0.002596797],"genre_scores_gemma":[0.9967457,0.0001749873,0.0001082591,0.0000501536,0.000003966835,0.000003347672,0.0008884722,0.000005967505,0.0020193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09964091,"threshold_uncertainty_score":0.2004554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174883167384862,"score_gpt":0.1877424249110828,"score_spread":0.1702541081725966,"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."}}