{"id":"W3196303752","doi":"10.1111/pce.14177","title":"Drone‐based physiological index reveals long‐term acclimation and drought stress responses in trees","year":2021,"lang":"en","type":"article","venue":"Plant Cell & Environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dairy Farmers of Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto Mississauga; University of Toronto; Genome Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Acclimatization; Drought stress; Photochemical Reflectance Index; Xanthophyll; Environmental science; Chlorophyll fluorescence; Climate change; Photosynthesis; Biology; Atmospheric sciences; Ecology; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001072695,0.0001609531,0.0001730979,0.0002537593,0.0001172343,0.0002161124,0.0001567528,0.0001748887,0.0005885187],"category_scores_gemma":[0.0001069688,0.0001141032,0.0001043726,0.0001789476,0.0001091477,0.000324089,0.0001957609,0.0002621518,0.00009576595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389224,"about_ca_system_score_gemma":0.00005681833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215716,"about_ca_topic_score_gemma":0.002402791,"domain_scores_codex":[0.999943,0.000006027006,0.000002644378,0.00002774613,0.00001051557,0.00001015094],"domain_scores_gemma":[0.9999173,0.00001473271,0.00002591381,0.00001070367,0.00001249134,0.00001886227],"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":[0.00016428,0.00006406645,0.06368139,0.00003449625,0.00003284606,0.00002716078,0.00008391176,0.0005129445,0.9279732,0.00003723349,0.00006160982,0.007326799],"study_design_scores_gemma":[0.000004080526,0.0001116582,0.9645637,0.000001960603,0.00001753225,0.00008445888,0.00005908941,0.003403724,0.03143854,0.00003703382,0.0002680051,0.00001017852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984835,0.00009368698,0.0009924937,0.000005419873,0.000001999809,0.000004948489,0.0001741001,0.00002258216,0.0002212922],"genre_scores_gemma":[0.9988639,0.00003568484,0.0005794509,0.0000111338,0.000002153178,0.000009171269,0.0002750804,0.000005887726,0.0002175643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001215716,"threshold_uncertainty_score":0.002417266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128308982417602,"score_gpt":0.2048619599944198,"score_spread":0.1920310617526596,"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."}}