{"id":"W6992023768","doi":"","title":"Iowa Eclipses Canada in Grain Production, Challenges China in Soybean Production","year":2011,"lang":"en","type":"dataset","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Agriculture; Production (economics); Crop production; Agricultural productivity; Chine","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":[],"category_scores_codex":[0.001711967,0.00115642,0.001345894,0.001446308,0.0001782616,0.00006725256,0.001103548,0.0006350914,0.0007907813],"category_scores_gemma":[0.001631734,0.001207609,0.00009274855,0.001523921,0.0002482608,0.0004621019,0.0002583133,0.00175908,0.001269097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002144033,"about_ca_system_score_gemma":0.001953511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278011,"about_ca_topic_score_gemma":0.9983693,"domain_scores_codex":[0.9931775,0.0007833797,0.001224469,0.002353449,0.00112231,0.001338879],"domain_scores_gemma":[0.9962054,0.00004140003,0.0007782424,0.002504488,0.0002056106,0.0002648814],"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":[0.0002128263,0.0005352816,0.0004158695,0.0008398307,0.00008755123,0.0002568409,0.001440793,0.00004451368,0.00004113328,0.00001948754,0.9952004,0.0009054727],"study_design_scores_gemma":[0.0007021141,0.0001015707,0.008520235,0.0008078845,0.00008879337,0.00009056488,0.000534486,0.000001500567,0.0005282572,0.0003626473,0.9870126,0.001249352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008594491,0.008398869,4.818417e-8,0.004663183,0.006494666,0.002411835,0.9685724,0.0002051459,0.0006593667],"genre_scores_gemma":[0.007992145,0.00482741,0.00004427431,0.00008419168,0.004038123,0.0005818646,0.9785675,0.0003649148,0.003499529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07056824,"threshold_uncertainty_score":0.9995086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291600513133476,"score_gpt":0.2481871328409097,"score_spread":0.2252711277095749,"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."}}