{"id":"W2340634845","doi":"","title":"Weekly Outlook: Corn Consumption and Acreage","year":2016,"lang":"en","type":"article","venue":"farmdoc daily","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bushel; Quarter (Canadian coin); Agricultural economics; Agricultural science; Consumption (sociology); Agribusiness; Economics; Geography; Environmental science; Acre; Agriculture","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":[0.00008082348,0.0001014164,0.0001119381,0.00000493423,0.0001116906,0.00005314523,0.0001112128,0.00006302089,0.0007127345],"category_scores_gemma":[0.00001725215,0.00002575037,0.00004122345,0.00004067217,0.00006270489,0.0001387666,0.00006142889,0.00003848799,0.0005507643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163866,"about_ca_system_score_gemma":0.000002379297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685545,"about_ca_topic_score_gemma":0.0001946313,"domain_scores_codex":[0.9993903,0.00002182825,0.0001302833,0.0002041653,0.00004919943,0.0002042137],"domain_scores_gemma":[0.9996648,0.0001104005,0.0000580997,0.00003548012,0.00002015382,0.0001110801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003012736,0.00003279183,0.06410164,0.000004869853,0.00001714547,0.000003493305,0.00007107385,5.769031e-8,0.4512398,0.005716724,0.01308377,0.4656985],"study_design_scores_gemma":[0.0001810125,0.0001014293,0.7817901,0.00001293955,0.000005896506,0.00001260167,0.00004832133,0.000003053346,0.001039891,0.0006162237,0.2160332,0.0001553772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913874,0.00007731678,0.000002164054,0.005400303,0.00008924613,0.00009501545,0.0001080066,0.00005214336,0.002788414],"genre_scores_gemma":[0.9933991,0.0002881845,0.000024476,0.0005317851,0.0002711759,0.000007386322,0.0000197806,5.644154e-7,0.005457543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7176884,"threshold_uncertainty_score":0.7803943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222679103679502,"score_gpt":0.2135166805568312,"score_spread":0.1912898895200362,"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."}}