{"id":"W4417273109","doi":"10.1016/j.agwat.2025.110066","title":"Assessment of empirical and physically-based approaches to simulate surface resistance for improved evapotranspiration modeling of winter wheat in semi-arid region, Morocco","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Cadi Ayyad; Université Mohammed VI Polytechnique; Fondation OCP; Ministère de l'Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres; Centre National pour la Recherche Scientifique et Technique; Ontario College of Pharmacists; Institut de Recherche pour le Développement","keywords":"Evapotranspiration; Eddy covariance; Irrigation; Deficit irrigation; Vapour Pressure Deficit; Crop coefficient; Empirical modelling; Hydrology (agriculture); Irrigation scheduling; Water use","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009227088,0.0008741107,0.0005149318,0.0005485759,0.0004493092,0.0009386869,0.0009792172,0.0008592895,0.0005943026],"category_scores_gemma":[0.001475466,0.0002915112,0.0006131671,0.0003205008,0.0002220218,0.0004067601,0.0004051698,0.0004207655,0.0001033405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493295,"about_ca_system_score_gemma":0.0009104168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08631928,"about_ca_topic_score_gemma":0.05534124,"domain_scores_codex":[0.9997969,0.00007669042,0.00002013755,0.00004869507,0.00002719421,0.00003036845],"domain_scores_gemma":[0.9994461,0.0002619244,0.00007323681,0.00004670739,0.0001394891,0.00003249699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005510963,0.0000897951,0.01813246,0.00006794775,0.00005175323,0.0001253008,0.00008124978,0.9711538,0.002971911,0.0003701334,0.0002054693,0.006695093],"study_design_scores_gemma":[0.00001200718,0.00002292685,0.005927634,0.00001274008,0.00001510616,0.00001064018,0.0000316075,0.9932024,0.0004467601,0.00005396291,0.000255336,0.000008938547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984916,0.0005621606,0.01166396,0.0002152163,0.0000279926,0.00004253906,0.0004435201,0.0002160794,0.001912667],"genre_scores_gemma":[0.9960352,0.0000966455,0.003416439,0.00001750061,0.000006387765,0.00002467312,0.0002365913,0.0000154751,0.000151121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08631928,"threshold_uncertainty_score":0.1716337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684282648389299,"score_gpt":0.2434874804268117,"score_spread":0.2166446539429187,"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."}}