{"id":"W7015931491","doi":"","title":"U.S. Feeds One Quarter of its Grain to Cars While Hunger is on the Rise","year":2010,"lang":"en","type":"dataset","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ethanol fuel; Consumption (sociology); Gallon (US); Crop; Crop production","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001104558,0.0009577401,0.001266613,0.0006920752,0.0002126279,0.0001559886,0.002071608,0.0009972017,0.02087322],"category_scores_gemma":[0.0003244056,0.0007423773,0.0003116028,0.001077415,0.0002412856,0.0001291731,0.000372838,0.001835182,0.07887588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130403,"about_ca_system_score_gemma":0.0002149694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005672437,"about_ca_topic_score_gemma":0.01234902,"domain_scores_codex":[0.9951045,0.000429602,0.0008239062,0.001083662,0.001562484,0.0009958616],"domain_scores_gemma":[0.9946332,0.0002910281,0.000662034,0.003604169,0.0003756492,0.0004338926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000227414,0.0003914935,0.00001313564,0.0001662007,0.0003092003,0.00003183589,0.001193697,0.00000214961,0.00197793,0.00004453107,0.9953903,0.0002521247],"study_design_scores_gemma":[0.0007480234,0.0004260035,0.0002245341,0.0004593394,0.0004013662,0.000006291642,0.0001256413,0.00000409672,0.004572215,0.00004553613,0.992208,0.0007789368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002594417,0.0007337291,3.434372e-7,0.005591094,0.001054741,0.001675033,0.9860767,0.000110393,0.00216359],"genre_scores_gemma":[0.004261278,0.000177735,0.00006303703,0.002998967,0.001749438,0.0003955267,0.9841065,0.0004304475,0.005817078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05800267,"threshold_uncertainty_score":0.9995027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098638216502791,"score_gpt":0.2724615478278972,"score_spread":0.2514751656628693,"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."}}