{"id":"W4317565342","doi":"10.1139/cjps-2022-0201","title":"Effects of postharvest deficit irrigation on sweet cherry (<i>Prunus avium</i>) in five Okanagan Valley, Canada, orchards: II. Phenology, cold hardiness, fruit yield, and quality","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College; Agriculture and Agri-Food Canada; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Agriculture and Agri-Food Canada; University of British Columbia","keywords":"Phenology; Irrigation; Deficit irrigation; Postharvest; Orchard; Hardiness (plants); Agronomy; Horticulture; Biology; Growing season; Prunus; Arid; Irrigation management; Cultivar; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001560605,0.000194972,0.0002004778,0.0001733303,0.000584005,0.0004412765,0.0004293556,0.00016567,0.0004795292],"category_scores_gemma":[0.0002026153,0.0001387548,0.0001564223,0.0001903024,0.0003091814,0.0001636956,0.000225041,0.0003735464,0.00004832518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004205408,"about_ca_system_score_gemma":0.00211123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4857098,"about_ca_topic_score_gemma":0.8219501,"domain_scores_codex":[0.9998715,0.0000133569,0.000007128098,0.00003215456,0.00003193477,0.00004387528],"domain_scores_gemma":[0.9996367,0.00004450173,0.00005627713,0.00001134104,0.0001021463,0.0001490926],"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":[0.005932651,0.001391324,0.2661252,0.0002277442,0.0001515897,0.0003862218,0.001634405,0.001509347,0.7011883,0.0001244696,0.0007421751,0.02058661],"study_design_scores_gemma":[0.00002494331,0.0008923793,0.9851394,0.000004585319,0.00003183994,0.00002412443,0.0005885358,0.0008781283,0.01167013,0.00001306706,0.0007210179,0.00001186293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997106,0.00003240707,0.00001868479,0.000007843177,0.000001121605,0.000007446848,0.00006677416,0.000002503022,0.0001526291],"genre_scores_gemma":[0.9983551,0.0000755708,0.0001571867,0.00003193013,0.000001159291,0.00001409621,0.0003582923,0.00000272886,0.001003929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5142902,"threshold_uncertainty_score":0.9657653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782750655635299,"score_gpt":0.2204407002628538,"score_spread":0.1926131937065008,"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."}}