{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005941995,0.0002269931,0.0004513927,0.0002142528,0.0001698321,0.0002734955,0.0003245112,0.0002045401,0.000278646],"category_scores_gemma":[0.00007847636,0.0001375604,0.00009805067,0.0004042556,0.0001526058,0.00051182,0.0001383663,0.0001290848,0.0006861231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009046777,"about_ca_system_score_gemma":0.00001120583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604256,"about_ca_topic_score_gemma":0.0001028,"domain_scores_codex":[0.9980794,0.0000202649,0.0005749506,0.0008075833,0.0000526411,0.0004652253],"domain_scores_gemma":[0.9991562,0.00008254044,0.0002364491,0.0003089846,0.00004146581,0.0001743657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002811504,0.000272182,0.5407324,0.0000952377,0.0001610057,0.00001153267,0.001343146,0.000001310369,0.02275347,0.1316105,0.2985268,0.004464255],"study_design_scores_gemma":[0.00071858,0.00003566774,0.7577453,0.00005878289,0.000008357572,0.000004555115,0.00007809443,0.000001832535,0.001276861,0.01848278,0.2211598,0.0004293536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734959,0.002508701,0.0001049627,0.004347612,0.0007732129,0.0002991527,0.000490337,0.00004764919,0.01793245],"genre_scores_gemma":[0.9800252,0.0001830793,0.0001638863,0.00006887659,0.0002632338,0.00002131732,0.00004217248,0.00001134804,0.01922086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2170129,"threshold_uncertainty_score":0.8818953,"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."}}