{"id":"W4392359226","doi":"10.1007/s00271-024-00916-8","title":"Evaluation of thermal-based physiological indicators for determining water-stress thresholds in drip-irrigated ‘Regina’ cherry trees","year":2024,"lang":"en","type":"article","venue":"Irrigation Science","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Drip irrigation; Water stress; Heat stress; Irrigation; Horticulture; Environmental science; Stress (linguistics); Agronomy; Biology; Animal science","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":[0.003894298,0.0001283217,0.000142656,0.0001262787,0.0001879406,0.0001905366,0.0003753891,0.00007021372,0.0001951747],"category_scores_gemma":[0.0001289318,0.00004855212,0.0000675293,0.001039592,0.0002799245,0.0006986623,0.00005972808,0.00008694781,0.00001290777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000865,"about_ca_system_score_gemma":0.0000680177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005559147,"about_ca_topic_score_gemma":0.00008895848,"domain_scores_codex":[0.9979505,0.0001337747,0.0003007787,0.0004555974,0.0008589124,0.0003004611],"domain_scores_gemma":[0.9993438,0.0001437456,0.0001216489,0.00008621442,0.000243759,0.00006080406],"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":[0.00001751352,0.00008854795,0.002420738,0.000028735,0.000009696839,0.0000015078,0.0004818896,0.004113972,0.8698903,0.001510074,0.00002062928,0.1214164],"study_design_scores_gemma":[0.0004761051,0.0003597122,0.4052986,0.0001981021,0.00008131036,0.000001003355,0.0004574095,0.2671786,0.3155051,0.007957896,0.002167422,0.0003186483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962639,0.00005899576,0.00006003231,0.001790952,0.0002347189,0.0005283509,0.00001660838,0.00006081554,0.00098569],"genre_scores_gemma":[0.9994247,0.000001770491,0.0001865146,0.0000983312,0.00006472491,0.000131276,0.00005066589,0.000001431529,0.00004059007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5543851,"threshold_uncertainty_score":0.2137027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07831693177301839,"score_gpt":0.3255720644582774,"score_spread":0.247255132685259,"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."}}