{"id":"W4244194692","doi":"10.4095/300859","title":"Wheat Acreage by Census Division, 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Statistics; Demography; Mathematics; Sociology; Arithmetic; Population","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":[0.0003496619,0.001231862,0.0003877207,0.005743359,0.001061688,0.001605967,0.001190276,0.0003700427,0.03437728],"category_scores_gemma":[0.001792816,0.0004091901,0.0003185961,0.01277432,0.0002170178,0.0009332093,0.0005908954,0.0008968675,0.02878219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021267,"about_ca_system_score_gemma":0.01539107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8961505,"about_ca_topic_score_gemma":0.9097645,"domain_scores_codex":[0.9991123,0.00001962811,0.00005928153,0.00009513722,0.0005542712,0.0001593066],"domain_scores_gemma":[0.9982089,0.00003703523,0.0001206992,0.00004448808,0.001439705,0.0001491742],"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":[0.00007668558,0.00003108194,0.009792684,0.0003692349,0.00001750031,0.00003769649,0.0001043592,0.0002771871,0.0001773909,0.001059306,0.9596549,0.02840202],"study_design_scores_gemma":[0.00003078743,0.00001907739,0.1219993,0.0001307637,0.00001289346,0.00005250119,0.0002434041,0.0002210992,0.000215829,0.0001447677,0.8769168,0.00001276684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003419877,0.001682822,0.0001615544,0.0003954995,0.0002887086,0.0001315971,0.9518296,0.0002146738,0.04187575],"genre_scores_gemma":[0.01451293,0.005473254,0.0005963783,0.0002082713,0.00008449945,0.0002096271,0.8522444,0.00008236383,0.1265883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1038495,"threshold_uncertainty_score":0.2089222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801699757386815,"score_gpt":0.2503340832654785,"score_spread":0.2223170856916103,"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."}}