{"id":"W2277230273","doi":"","title":"Efficient Water Use in Ontario Apple Orchards Through Evapotranspiration-based Irrigation Scheduling and Drought Tolerant Rootstocks","year":2015,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Rootstock; Evapotranspiration; Irrigation scheduling; Drought tolerance; Irrigation; Agronomy; Agroforestry; Environmental science; Horticulture; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001615632,0.0001534457,0.0001717398,0.0001699182,0.0005820831,0.0004711611,0.0002799346,0.0001414893,0.0005848982],"category_scores_gemma":[0.0002951453,0.0001477232,0.000135615,0.0002203173,0.0003071158,0.0002067611,0.0002168786,0.0002275069,0.00006858965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005372077,"about_ca_system_score_gemma":0.002411527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3889211,"about_ca_topic_score_gemma":0.798347,"domain_scores_codex":[0.9998596,0.00001162998,0.00000649382,0.00004433051,0.0000374033,0.00004054093],"domain_scores_gemma":[0.9998018,0.00002195307,0.00004249145,0.00001351091,0.00003715406,0.00008304676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001536788,0.0003083012,0.07108883,0.00007024535,0.00004079887,0.0003025316,0.001373824,0.000812814,0.9117636,0.0002148983,0.0004028229,0.01208463],"study_design_scores_gemma":[0.00003879523,0.0005161549,0.9658966,0.000006917973,0.00003144024,0.00004644686,0.0006387429,0.001197993,0.02989435,0.0000508315,0.00165977,0.00002203229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996248,0.00001918403,0.00003730774,0.000009896925,6.265277e-7,0.00000618914,0.00003937234,0.000002505527,0.0002600979],"genre_scores_gemma":[0.995599,0.0001047456,0.0005093144,0.00002583445,0.000001077048,0.00001599019,0.0002634393,0.000008384042,0.003472134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6110789,"threshold_uncertainty_score":0.7733147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594316802709478,"score_gpt":0.2025422182700199,"score_spread":0.1865990502429251,"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."}}