{"id":"W2989693249","doi":"10.1016/j.oneear.2019.10.022","title":"Agriculture 5.0: Reconciling Production with Planetary Health","year":2019,"lang":"en","type":"article","venue":"One Earth","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Agriculture; Agricultural revolution; Ingenuity; Famine; Civilization; Industrial Revolution; Food processing; Digital Revolution; Green Revolution; Business; Food systems; Agricultural economics; Natural resource economics; Food security; Economics; Political science; History; Law; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000168309,0.0001253605,0.0001383062,0.000008763663,0.0001105146,0.00001715015,0.00008177698,0.00004646842,0.002382477],"category_scores_gemma":[0.00000699658,0.00007881872,0.0000267653,0.0001541604,0.00006635959,0.0003045826,0.00004215919,0.0001642227,0.001595145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535646,"about_ca_system_score_gemma":0.00001027159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000477753,"about_ca_topic_score_gemma":0.0005727828,"domain_scores_codex":[0.998973,0.00004441087,0.0001172714,0.0003402616,0.0002414576,0.0002836535],"domain_scores_gemma":[0.9996182,0.00000812617,0.00006739004,0.0002062854,0.000002668934,0.0000973233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001698858,0.0005091716,0.8701723,0.0001124237,0.00005290991,0.00001046172,0.002481332,0.06240134,0.01783208,0.00004461118,0.01836694,0.02784652],"study_design_scores_gemma":[0.0002472233,0.0005173245,0.954379,0.00003097122,0.000007474235,0.00005394728,0.0007782375,0.00003951308,0.001711507,0.00006667303,0.04193348,0.0002346585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876241,0.00005423651,0.00002494963,0.002086658,0.00007626305,0.0004647452,0.000003621634,0.00005092238,0.009614493],"genre_scores_gemma":[0.9890203,0.00002406518,0.001087144,0.0004961038,0.00006905518,0.000005510163,0.00004832516,0.000007541376,0.009241916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08420667,"threshold_uncertainty_score":0.9991822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004846083651225365,"score_gpt":0.1696105842168811,"score_spread":0.1647645005656558,"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."}}