{"id":"W2136857521","doi":"10.15666/aeer/1202_355422","title":"IMPACTS OF CLIMATE CHANGE ON VEGETATION DISTRIBUTION NO. 2 - CLIMATE CHANGE INDUCED VEGETATION SHIFTS IN THE NEW WORLD","year":2014,"lang":"en","type":"article","venue":"Applied Ecology and Environmental Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Vegetation (pathology); Environmental science; Distribution (mathematics); Climatology; Physical geography; Geography; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363845,0.0001227614,0.0001590642,0.0001471481,0.000234507,0.00002780036,0.0001405878,0.0001152267,0.0003843432],"category_scores_gemma":[0.00002567036,0.00009398457,0.0000227741,0.0002113039,0.0001471773,0.000158006,0.00003788009,0.000302688,0.0005156499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215127,"about_ca_system_score_gemma":0.000005879263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021898,"about_ca_topic_score_gemma":0.03696045,"domain_scores_codex":[0.9985043,0.0002201036,0.0001962213,0.0002597142,0.0002934359,0.0005262704],"domain_scores_gemma":[0.9991624,0.000508911,0.000070952,0.0001550521,0.000005079614,0.00009757282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000336788,0.0001035618,0.9264696,0.0001020156,0.000005608106,0.000004494648,0.002761505,0.00001304558,0.001600155,0.00104362,0.00006135462,0.06749823],"study_design_scores_gemma":[0.0005086105,0.0004288677,0.9963463,0.00003107336,0.000005801269,0.000001322957,0.0002915226,0.0009537095,0.0001661488,0.0007178393,0.0004563098,0.00009250699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942948,0.0001504675,5.235229e-7,0.0005388177,0.0000933254,0.0005789335,0.0002057079,0.000005854871,0.004131586],"genre_scores_gemma":[0.9944903,0.002132953,0.000005418427,0.0005108793,0.0002196829,0.00004306754,0.0025896,0.000004709259,0.000003407514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06987666,"threshold_uncertainty_score":0.9806125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06806278229644014,"score_gpt":0.2975608163939943,"score_spread":0.2294980340975542,"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."}}