{"id":"W2158559246","doi":"10.1029/2005jg000123","title":"Simulation of boreal black spruce chronosequences: Comparison to field measurements and model evaluation","year":2006,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary production; Environmental science; Biome; Evergreen; Taiga; Plant functional type; Boreal; Deciduous; Leaf area index; Atmospheric sciences; Black spruce; Biogeochemical cycle; Ecosystem; Biomass (ecology); Ecology; Geology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001792501,0.0008712524,0.0005680635,0.0004097483,0.0004648742,0.0006478717,0.001275431,0.0007065429,0.0008655034],"category_scores_gemma":[0.002228908,0.0003524621,0.0004638559,0.0004008187,0.0003908482,0.0006027346,0.0002522724,0.0004406493,0.00009223202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234564,"about_ca_system_score_gemma":0.001199331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1487495,"about_ca_topic_score_gemma":0.1167544,"domain_scores_codex":[0.9996464,0.0001343918,0.00002767981,0.00008028853,0.00006332873,0.00004800524],"domain_scores_gemma":[0.9981878,0.0009923158,0.0001398758,0.0001608444,0.0004105168,0.0001086176],"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":[0.0001542651,0.0002310071,0.01649685,0.00003670975,0.00004672944,0.00005529469,0.00005077747,0.9778939,0.000931942,0.0001922318,0.0002800699,0.003630142],"study_design_scores_gemma":[0.0000573332,0.00009979949,0.00461001,0.000005181706,0.00001280175,0.00001090026,0.00002916604,0.9940966,0.0008126213,0.00006059163,0.0001955556,0.000009353784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948531,0.00008827393,0.002615355,0.00004180942,0.00001650323,0.000042429,0.0004956159,0.0003445743,0.001502402],"genre_scores_gemma":[0.9962069,0.00004348628,0.002830497,0.00001807404,0.000003292425,0.00003703261,0.0006115416,0.0000265618,0.0002225889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487495,"threshold_uncertainty_score":0.2957674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07049705362084913,"score_gpt":0.3589491768782611,"score_spread":0.288452123257412,"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."}}