{"id":"W2088133484","doi":"10.1002/2013eo030006","title":"The Need for Improved Maps of Global Cropland","year":2013,"lang":"en","type":"article","venue":"Eos","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Food security; Agricultural economics; Agriculture; Consumption (sociology); Natural resource economics; Production (economics); Competition (biology); Business; Agricultural productivity; Key (lock); Population; Economics; Geography; Ecology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004041184,0.00004637269,0.00006295127,4.605884e-7,0.0001133787,0.00004254749,0.0001304857,0.00003074354,0.00005707776],"category_scores_gemma":[0.00001462183,0.00001027997,0.00005460977,0.00004264215,0.0000260007,0.00003808539,0.00002243605,0.00001735964,0.00002525479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008429017,"about_ca_system_score_gemma":0.000002354383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102028,"about_ca_topic_score_gemma":0.0007656441,"domain_scores_codex":[0.9996861,0.000006183643,0.00009640516,0.00006617449,0.00001731405,0.0001278851],"domain_scores_gemma":[0.9997869,0.00008401241,0.00003611931,0.00002211712,0.00003509908,0.0000358059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004286084,0.00004157095,0.009074194,0.000006372416,0.00003709931,7.012313e-8,0.00003922825,0.000001811105,0.2332413,0.01691021,0.1860457,0.5545595],"study_design_scores_gemma":[0.0002106625,0.0002864893,0.4475341,0.000003955864,0.000007600322,0.000003143085,0.0002921303,0.0002718212,0.002237256,0.01365111,0.5353311,0.0001706075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907748,0.00005833056,8.033346e-7,0.007160068,0.0000800929,0.0002594856,0.0001482545,0.00000885847,0.00150936],"genre_scores_gemma":[0.9987226,0.00001601825,0.00003152829,0.00020397,0.0002248783,0.00002781048,0.00002876173,1.617385e-7,0.000744295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5543889,"threshold_uncertainty_score":0.1542365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00895440020585426,"score_gpt":0.196202834404175,"score_spread":0.1872484341983207,"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."}}