{"id":"W2110637065","doi":"10.21273/hortsci.19.4.719","title":"Irrigation Scheduling for ‘Sovereign Coronation’ Table Grapes Based on Evapotranspiration Calculations and Crop Coefficients","year":2009,"lang":"en","type":"article","venue":"HortTechnology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Irrigation; Evapotranspiration; Vineyard; Crop coefficient; Environmental science; Transpiration; Irrigation scheduling; Agronomy; Canopy; Wine grape; Water content; Water use; Water-use efficiency; Horticulture; Botany; Photosynthesis; Biology; Cultivar","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022804,0.00009131448,0.00008315856,0.00008843088,0.0002015647,0.00002243883,0.00007365434,0.0001409502,0.00003619856],"category_scores_gemma":[0.00002512301,0.00009005905,0.00002222965,0.0002190738,0.00007261897,0.0001037648,0.000009004329,0.0000811276,0.00001268013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724274,"about_ca_system_score_gemma":0.000007863069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400009,"about_ca_topic_score_gemma":0.0001548835,"domain_scores_codex":[0.9993231,0.00001207359,0.0001484636,0.000233352,0.00012506,0.0001579825],"domain_scores_gemma":[0.999741,0.00002859345,0.00005577591,0.0001317576,0.00001388231,0.00002897672],"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":[0.00002459078,0.00007960541,0.007263526,0.000003249774,0.000004162747,9.543746e-7,0.00002620463,0.9288034,0.003871644,0.04827767,0.00002928812,0.01161569],"study_design_scores_gemma":[0.0004482313,0.0001952222,0.01407949,0.00000844139,0.00001732085,0.000003158901,0.00000412415,0.967418,0.001282951,0.01552811,0.0008948848,0.0001200362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7512172,0.00001053082,0.2446905,0.0007806149,0.00004429995,0.000393875,0.00003126031,0.0001109924,0.002720723],"genre_scores_gemma":[0.991739,0.000003803929,0.007668072,0.0003061325,0.000007220963,0.00003127341,0.0001447749,0.000006353327,0.00009332076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2405218,"threshold_uncertainty_score":0.3672501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009190098425468647,"score_gpt":0.2223843919695611,"score_spread":0.2131942935440925,"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."}}