{"id":"W2031217053","doi":"10.1016/s0304-3800(00)00348-3","title":"From static biogeographical model to dynamic global vegetation model: a global perspective on modelling vegetation dynamics","year":2000,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Forest Research Institute","funders":"","keywords":"Vegetation (pathology); Climate change; Environmental science; Global change; Ecology; Vegetation type; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008071508,0.0007745683,0.001284578,0.000560286,0.0005302178,0.002083444,0.001754605,0.00157965,0.003165034],"category_scores_gemma":[0.002729967,0.0005898188,0.001123059,0.00121354,0.001656323,0.00521365,0.001754725,0.00176466,0.0004012769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111878,"about_ca_system_score_gemma":0.0008882233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009759759,"about_ca_topic_score_gemma":0.008793482,"domain_scores_codex":[0.9997115,0.0001469218,0.00001449486,0.00005493368,0.00004456214,0.00002755574],"domain_scores_gemma":[0.9995021,0.0002540484,0.00004836272,0.000082094,0.00005977138,0.00005353954],"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":[0.00002204587,0.00001797123,0.0009554292,0.00005770724,0.00007494298,0.0001046406,0.00009897409,0.7900897,0.0006032394,0.1954758,0.001433473,0.011066],"study_design_scores_gemma":[0.00001099974,0.00001673014,0.0002369264,0.0000136498,0.00003128507,0.00002946484,0.00004076721,0.7798563,0.00008545414,0.2172712,0.002393713,0.00001350467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05384742,0.002713684,0.9154223,0.005151337,0.0003647368,0.00002684658,0.0003412564,0.0002463227,0.02188607],"genre_scores_gemma":[0.873111,0.005703802,0.1091729,0.0008358599,0.000597875,0.0001366357,0.0004211375,0.0003704883,0.009650273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009759759,"threshold_uncertainty_score":0.0194059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487956821029487,"score_gpt":0.247199125274217,"score_spread":0.2323195570639221,"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."}}