{"id":"W2136693989","doi":"10.1111/j.1365-2486.2009.01896.x","title":"Arctic alpine vegetation change over 20 years","year":2009,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Species richness; Shrub; Vegetation (pathology); Forb; Growing season; Arctic vegetation; Ecology; Herbaceous plant; Arctic; Climate change; Environmental science; Tundra; Biology; Grassland","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001002894,0.0001381931,0.0001650036,0.00004868255,0.00005752267,0.00002189768,0.0001486,0.000141057,0.002928419],"category_scores_gemma":[0.00001294783,0.0001214907,0.00005653176,0.0002252148,0.00005152658,0.0001693246,0.00001013472,0.00007120797,0.0008300543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001415857,"about_ca_system_score_gemma":0.000007795228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006872003,"about_ca_topic_score_gemma":0.01331183,"domain_scores_codex":[0.9990712,0.00005281199,0.0001322951,0.0002598102,0.00009045255,0.0003933845],"domain_scores_gemma":[0.9996356,0.00002242047,0.00005589263,0.0001458288,0.00002576935,0.0001144411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003649215,0.00001493844,0.9017522,0.000009309228,0.000007684054,0.00001965992,0.0002997914,1.995169e-7,0.0000458405,0.0001756228,0.0006035673,0.09703474],"study_design_scores_gemma":[0.0002734714,0.0003205755,0.9731611,0.00001374096,0.00001122965,0.00002212899,0.00002060536,0.0002062979,0.000002061308,0.001463957,0.02435364,0.000151203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829702,0.006783531,0.000005834335,0.002209413,0.001310626,0.0003482601,0.002276502,0.0000815425,0.004014106],"genre_scores_gemma":[0.9875552,0.0005940256,0.00003547461,0.006694651,0.001443387,0.000004575716,0.003643926,0.000001930026,0.00002680797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09688354,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07568142280333803,"score_gpt":0.29225533918935,"score_spread":0.216573916386012,"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."}}