{"id":"W3133195870","doi":"10.21273/hortsci15459-20","title":"An Energy Balance Model for Predicting Berry Temperature and Scheduling Sprinklers for Cooling in Northern Highbush Blueberry","year":2021,"lang":"en","type":"article","venue":"HortScience","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"Oregon Blueberry Commission; U.S. Department of Agriculture","keywords":"Environmental science; Relative humidity; Vaccinium; Irrigation scheduling; Canopy; Berry; Atmospheric sciences; Air temperature; Meteorology; Wind speed; Energy balance; Horticulture; Botany; Biology; Ecology; Soil science; Geography","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":[0.0003468151,0.0001574624,0.0001957804,0.00001335447,0.0004691072,0.0002266812,0.000240784,0.0001113894,0.000005986975],"category_scores_gemma":[0.0002490186,0.00006522668,0.00006726604,0.0004083727,0.0001038333,0.0004397114,0.00007699004,0.0001308912,4.439634e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861823,"about_ca_system_score_gemma":0.00004954148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001808223,"about_ca_topic_score_gemma":0.01521479,"domain_scores_codex":[0.9983227,0.00003304707,0.0002350168,0.0006081395,0.0002544948,0.0005466545],"domain_scores_gemma":[0.9992059,0.0001936543,0.00005292502,0.0000667662,0.0002791373,0.0002016327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004839788,0.00006882509,0.03792451,0.00002436796,0.000004594115,0.000007364595,0.0002933226,0.004154608,0.9358619,0.0006026651,0.0000194622,0.02098996],"study_design_scores_gemma":[0.0004272217,0.000295227,0.162598,0.0001489643,0.00001424229,0.00002943961,0.002581932,0.8028921,0.0288423,0.0008666801,0.0007766847,0.0005272531],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981798,0.0003432742,0.0002240688,0.0008110029,0.00007694797,0.0002438832,0.00004604493,0.00004268434,0.00003232231],"genre_scores_gemma":[0.9969664,0.0001139071,0.001993459,0.0002315547,0.0002210976,0.00009917309,0.00006934656,0.000001768324,0.0003033512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9070196,"threshold_uncertainty_score":0.8490213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745464434780907,"score_gpt":0.2688000353650504,"score_spread":0.2413453910172413,"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."}}