{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004028355,0.0001691554,0.000150821,0.0005938474,0.0003469348,0.0004911628,0.0001040746,0.0003049384,0.001016557],"category_scores_gemma":[0.0007867834,0.00004969761,0.0001567051,0.0005913641,0.0001317621,0.0002584575,0.0002332092,0.0002179306,0.0002639334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992656,"about_ca_system_score_gemma":0.0001563114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578669,"about_ca_topic_score_gemma":0.02430245,"domain_scores_codex":[0.9998277,0.00003943915,0.00001646536,0.0000476823,0.00003252391,0.00003616952],"domain_scores_gemma":[0.9994652,0.00006654292,0.0002341087,0.00002659845,0.00013989,0.00006769868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002937344,0.00007816199,0.9783678,0.00004561353,0.0001715395,0.0002530052,0.0004752226,0.0009109571,0.002217248,0.00006839382,0.0008606281,0.01625764],"study_design_scores_gemma":[0.000001834493,0.00003679172,0.998237,0.000003907111,0.00001072137,0.00007399386,0.0001204677,0.0002833544,0.0001307504,0.00001006758,0.001088745,0.000002414721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976175,0.0002703841,0.00008982963,0.00005727961,0.00001647696,0.000002145834,0.001017443,0.0000152637,0.0009134624],"genre_scores_gemma":[0.9985128,0.0001219085,0.00006838569,0.00002407618,0.00001863352,0.000004139801,0.0009855417,0.00000158866,0.0002628451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578669,"threshold_uncertainty_score":0.03138959,"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."}}