{"id":"W3201042341","doi":"10.1038/s41467-021-25254-7","title":"Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Environmental science; Deficit irrigation; Irrigation; Vapour Pressure Deficit; Transpiration; Water content; Soil water; Agronomy; Water resources; Water-use efficiency; Water conservation; Farm water; Moisture; Irrigation management; Water resource management; Soil science; Ecology; Chemistry; Biology","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":[0.0001099712,0.0001461163,0.0001468055,0.00011617,0.0001512887,0.0003450538,0.0002872589,0.0002360487,0.0004721685],"category_scores_gemma":[0.0003234929,0.0001186565,0.0002150782,0.0001981831,0.0002761316,0.0004347836,0.0002561915,0.0001325026,0.00004042202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007577101,"about_ca_system_score_gemma":0.0007824912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213871,"about_ca_topic_score_gemma":0.01924428,"domain_scores_codex":[0.9999329,0.00001551768,0.000002549135,0.00002323602,0.00001086763,0.00001503976],"domain_scores_gemma":[0.9998969,0.00003189267,0.00003862021,0.000009651169,0.00001273528,0.0000101609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009029204,0.00008242819,0.03515193,0.00007795538,0.00007930119,0.0001391944,0.00006966935,0.8749294,0.06044985,0.0139278,0.0006320043,0.01437014],"study_design_scores_gemma":[0.0000169727,0.00006560209,0.02426692,0.000004446289,0.00002026224,0.00003331268,0.00005786119,0.9684753,0.002335568,0.00348846,0.00122,0.00001514164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536358,0.0001016991,0.04128197,0.0002530296,0.00001309053,0.00002142857,0.000254336,0.00007279467,0.004365987],"genre_scores_gemma":[0.9987673,0.00002996384,0.001011064,0.000006040576,0.000001080738,0.000005756663,0.00002367992,0.00000204478,0.0001531541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213871,"threshold_uncertainty_score":0.02413613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005127934291466825,"score_gpt":0.2261946714869064,"score_spread":0.2210667371954396,"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."}}