{"id":"W3136106769","doi":"10.3389/frwa.2021.627551","title":"Efficient Irrigation of Maize Through Soil Moisture Monitoring and Modeling","year":2021,"lang":"en","type":"article","venue":"Frontiers in Water","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Università degli Studi di Padova","keywords":"Environmental science; Water balance; Irrigation; Evapotranspiration; Water content; Growing season; Agriculture; Deficit irrigation; Moisture; Agricultural engineering; Hydrology (agriculture); Groundwater recharge; Irrigation management; Agronomy; Groundwater; Geography; Ecology; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008708995,0.00007658675,0.0001188288,0.00001694689,0.00004597251,0.00001205725,0.00004197581,0.00006430698,0.000007986283],"category_scores_gemma":[0.000007657226,0.00005609496,0.00002551498,0.00007812489,0.00005943662,0.0000478863,0.00008422395,0.00009142178,0.000004652964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006563446,"about_ca_system_score_gemma":0.000003181618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004156732,"about_ca_topic_score_gemma":0.0000604809,"domain_scores_codex":[0.9993197,0.00002681996,0.0001416977,0.0001966036,0.0001510089,0.0001641795],"domain_scores_gemma":[0.9998289,0.000004333216,0.0000185903,0.0001176847,0.000007224922,0.00002325876],"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":[0.00002488711,0.0000604873,0.2752172,0.0000371721,0.00001975275,0.00004655316,0.01321166,0.6212854,0.07553317,0.000007240983,0.000295766,0.01426066],"study_design_scores_gemma":[0.0009298261,0.0000257721,0.110933,0.0001782069,0.00004091741,0.00002748322,0.005175534,0.3668459,0.5066412,0.008230866,0.0005702693,0.0004009791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860679,0.0002947662,0.006958486,0.0001448307,0.0006400791,0.00004671953,2.023807e-7,0.000009168084,0.005837855],"genre_scores_gemma":[0.9802696,0.00002301883,0.01946317,0.00002761023,0.00004588952,3.934414e-7,0.000002473155,0.000008104275,0.0001597617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4311081,"threshold_uncertainty_score":0.2287486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011142698621866,"score_gpt":0.2129472176425362,"score_spread":0.2028357906563175,"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."}}