{"id":"W3137123113","doi":"10.1038/s41893-021-00699-2","title":"Higher yields and more biodiversity on smaller farms","year":2021,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":282,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biodiversity; Business; Environmental science; Agricultural science; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000337617,0.0001808454,0.0004022062,0.0006630222,0.0007770301,0.0009626723,0.0003456321,0.0003902678,0.02101398],"category_scores_gemma":[0.001656413,0.0001173741,0.0004008592,0.001201575,0.0007428979,0.0006918006,0.001094463,0.0004731137,0.001341875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007727952,"about_ca_system_score_gemma":0.0004015419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004779108,"about_ca_topic_score_gemma":0.01671526,"domain_scores_codex":[0.9995871,0.00009396977,0.00001894589,0.0001000676,0.0001145869,0.0000852638],"domain_scores_gemma":[0.9977786,0.000416727,0.0008505091,0.0002515055,0.0002477017,0.0004551188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006425085,0.0004817047,0.8382686,0.0002795273,0.000512906,0.001194228,0.001786126,0.001783145,0.05476391,0.005921469,0.003052019,0.09131391],"study_design_scores_gemma":[0.000009023038,0.00005937829,0.9922425,0.00001486272,0.0000378802,0.0001760334,0.001189141,0.0001462169,0.0007577948,0.001640182,0.003720332,0.000006752461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847499,0.0001292881,0.0007817969,0.0003097815,0.00001528092,0.00001024329,0.0005655233,0.00002423602,0.01341396],"genre_scores_gemma":[0.9907354,0.0001201248,0.000678561,0.0001088143,0.00001581101,0.00001445288,0.0005699031,0.00002242974,0.007734482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02101398,"threshold_uncertainty_score":0.07029873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494563301926062,"score_gpt":0.2565413226321428,"score_spread":0.2415956896128822,"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."}}