{"id":"W4399457774","doi":"10.1016/j.agrformet.2024.110079","title":"Assessing the hydroclimatic sensitivity of tree species in Northeastern America through spatiotemporal modelling of annual tree growth","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Géomatique du Québec; Université Laval; Ministère des Ressources naturelles et des Forêts; Ministry of Natural Resources and Wildlife","funders":"","keywords":"Tree (set theory); Sensitivity (control systems); Environmental science; Climatology; Geology; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004545726,0.00034959,0.0002095226,0.0003483468,0.0002958719,0.0005741291,0.0006873184,0.0003633701,0.0004142778],"category_scores_gemma":[0.001261521,0.0002011882,0.0004567727,0.0004798979,0.0002953854,0.0003946262,0.0003102557,0.0002274906,0.00004152655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610003,"about_ca_system_score_gemma":0.001065381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4005104,"about_ca_topic_score_gemma":0.3848131,"domain_scores_codex":[0.9998618,0.00003582403,0.00001150731,0.00005487255,0.00001323587,0.00002261883],"domain_scores_gemma":[0.9995061,0.0001816075,0.0001307628,0.00005738613,0.00007871007,0.00004542817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003107759,0.00003426532,0.1068954,0.00001974195,0.00006244724,0.00004919199,0.00006783091,0.8877262,0.002004573,0.0002965935,0.0001413451,0.002671371],"study_design_scores_gemma":[0.00000456126,0.00001169845,0.0391688,0.000003825849,0.00001953837,0.00001320411,0.00004248532,0.9602893,0.0001763976,0.0001261966,0.0001367225,0.00000731941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961689,0.00006781067,0.002732839,0.00004881751,0.00000282204,0.000007695471,0.0005380448,0.00004427966,0.000388688],"genre_scores_gemma":[0.9978026,0.00005444139,0.001641539,0.000008927373,0.000001717903,0.000007653345,0.0003451407,0.000005957886,0.0001320935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4005104,"threshold_uncertainty_score":0.7963583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516721025891906,"score_gpt":0.2129448651019523,"score_spread":0.1977776548430333,"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."}}