{"id":"W4323657116","doi":"10.1088/1748-9326/acc2d6","title":"Crop diversity buffers the impact of droughts and high temperatures on food production","year":2023,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Crop diversity; Food security; Agriculture; Cropping; Crop; Crop yield; Environmental science; Agricultural productivity; Climate change; Agroforestry; Extreme weather; Food processing; Biodiversity; Yield (engineering); Resistance (ecology); Agricultural economics; Agronomy; Geography; Biology; Ecology; Economics","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":[0.0005091727,0.0001515138,0.0002026093,0.0005048944,0.0002108469,0.0007044385,0.0001538652,0.0001675677,0.001919143],"category_scores_gemma":[0.001345399,0.00009796983,0.0002361525,0.0008199715,0.0003787792,0.0005129067,0.0005845395,0.000205652,0.0001623133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742588,"about_ca_system_score_gemma":0.0002102178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234075,"about_ca_topic_score_gemma":0.003747553,"domain_scores_codex":[0.9998119,0.0000687137,0.000009116468,0.00004735395,0.00001356632,0.00004935409],"domain_scores_gemma":[0.9989436,0.0003440022,0.0004264588,0.00009966083,0.00007242498,0.0001138321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001935152,0.00006490396,0.9533518,0.00007857305,0.0002679607,0.0001829108,0.0001878976,0.02216929,0.008404237,0.000787534,0.0005104786,0.01380093],"study_design_scores_gemma":[0.000005847342,0.00009767836,0.9901639,0.00001557558,0.00003713567,0.00009684421,0.0007018353,0.005606995,0.000960629,0.0009477488,0.001357992,0.000007778272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980201,0.0001142216,0.0005857733,0.0000386543,0.000002696641,0.000001858707,0.0002924199,0.000007518746,0.000936774],"genre_scores_gemma":[0.9996096,0.00004442416,0.0001654064,0.000006760545,0.000001801788,9.366983e-7,0.00011133,0.000001323506,0.00005841907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234075,"threshold_uncertainty_score":0.006420195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06703845257756884,"score_gpt":0.2924084510105818,"score_spread":0.2253699984330129,"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."}}