{"id":"W4381192554","doi":"10.32942/x2ms4n","title":"Plant diversity dynamics over space and time in a warming Arctic","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Université de Moncton; University of British Columbia; University of Victoria","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Species richness; Arctic; Ecology; Arctic vegetation; Biodiversity; Climate change; Abundance (ecology); Gamma diversity; Geography; Plant community; Ecosystem; Species diversity; Vascular plant; Alpha diversity; Biology; Tundra","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":[0.0005610623,0.0001398012,0.0002183184,0.001251879,0.0004525634,0.0006502626,0.0001416821,0.0001818251,0.0006742557],"category_scores_gemma":[0.0008393807,0.00009531769,0.0001913277,0.00149366,0.0003398473,0.0003521412,0.0004452713,0.0001974705,0.0001010528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000555119,"about_ca_system_score_gemma":0.0002781434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04581764,"about_ca_topic_score_gemma":0.07331305,"domain_scores_codex":[0.9998179,0.00005112026,0.000009638991,0.00005543118,0.00002720126,0.00003872677],"domain_scores_gemma":[0.9994041,0.0001247288,0.0002082992,0.00003776287,0.0001390958,0.00008606957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001220322,0.00002056226,0.9860659,0.00002982897,0.0001032568,0.00008787815,0.001624888,0.0009904775,0.002719117,0.0001299367,0.0001630791,0.007943098],"study_design_scores_gemma":[5.226973e-7,0.000008978735,0.9990427,0.000003417997,0.000006520225,0.00002481687,0.0003548699,0.0002583753,0.00004817155,0.00002440212,0.0002250982,0.000002020322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992526,0.0001371316,0.00007890088,0.00001196596,0.000001803974,8.312567e-7,0.0002039148,0.000002576608,0.0003103063],"genre_scores_gemma":[0.9994117,0.0001077157,0.0001176775,0.000005243903,0.000003679469,0.000002237545,0.0002363446,0.00000151478,0.0001138582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04581764,"threshold_uncertainty_score":0.09110188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04947717844979584,"score_gpt":0.2328452974038683,"score_spread":0.1833681189540725,"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."}}