{"id":"W1988902793","doi":"10.1038/ncomms2296","title":"Recent patterns of crop yield growth and stagnation","year":2012,"lang":"en","type":"article","venue":"Nature Communications","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":1597,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Gordon and Betty Moore Foundation; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Crop; Agriculture; Yield (engineering); Population; Agronomy; Agricultural economics; Crop yield; World population; Geography; Environmental science; Economics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009310765,0.0001743782,0.0002206695,0.001320124,0.0003069382,0.0008225843,0.0003529616,0.000482099,0.002596861],"category_scores_gemma":[0.003148732,0.0001297638,0.0001881816,0.001948242,0.0008570804,0.0006775163,0.000593077,0.0006270934,0.000309605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007795673,"about_ca_system_score_gemma":0.0003224335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003971804,"about_ca_topic_score_gemma":0.007520519,"domain_scores_codex":[0.9998403,0.00001803947,0.00002084238,0.00006228548,0.00003429319,0.00002415587],"domain_scores_gemma":[0.9969806,0.0005744295,0.001399286,0.0001716404,0.0006337753,0.0002401798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001601552,0.00005635865,0.8789631,0.0004968,0.0002166332,0.0002793599,0.003008984,0.0006502695,0.01906436,0.004636014,0.003635173,0.08739138],"study_design_scores_gemma":[0.000004917595,0.00007772673,0.9893791,0.00001656778,0.00002107659,0.0002635359,0.0004284274,0.0001730892,0.00105044,0.000497737,0.008078469,0.000008893445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827372,0.003628261,0.001701107,0.002663814,0.00005629574,0.00001181402,0.001873806,0.00008237538,0.007245364],"genre_scores_gemma":[0.9954354,0.001399627,0.0004823773,0.0002401339,0.0001050337,0.00000721454,0.001086417,0.00001429128,0.001229525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003971804,"threshold_uncertainty_score":0.008687317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0459813905712271,"score_gpt":0.278274922465431,"score_spread":0.2322935318942039,"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."}}