{"id":"W4211024045","doi":"10.21203/rs.3.rs-1304530/v1","title":"Thermodynamic basis for the demarcation of Arctic and alpine treelines","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Arizona; Université de Montréal; National Science Foundation","keywords":"Tundra; Arctic vegetation; Ecosystem; Environmental science; Arctic; Vegetation (pathology); Permafrost; Climatology; Atmospheric sciences; Boreal; Physical geography; Ecology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005997405,0.0001178491,0.0002062073,0.0003790471,0.0004108642,0.0008834506,0.0004186462,0.0002601014,0.001618996],"category_scores_gemma":[0.002306248,0.0001335607,0.0002946873,0.0003126283,0.0006957504,0.0005894725,0.000452004,0.0002520086,0.00007305943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006913026,"about_ca_system_score_gemma":0.0003078604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058617,"about_ca_topic_score_gemma":0.0101034,"domain_scores_codex":[0.9998558,0.00005485417,0.000008580332,0.00003750496,0.00001843806,0.00002479541],"domain_scores_gemma":[0.9993219,0.0002618461,0.0001872085,0.00007965617,0.00007773268,0.00007164916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002498127,0.0000987348,0.1416299,0.00005317131,0.00007511167,0.0002417952,0.0002215323,0.7803962,0.01056256,0.05900397,0.0005206276,0.006946566],"study_design_scores_gemma":[0.00002892461,0.00005076611,0.0755536,0.00001520387,0.00002040776,0.00005768771,0.0002059181,0.9013433,0.001607971,0.02020745,0.0008757935,0.00003288088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864007,0.00004371761,0.01151232,0.00006609137,0.000006493279,0.000006409378,0.0002107251,0.00002907908,0.001724429],"genre_scores_gemma":[0.9990284,0.000008097135,0.0008415827,0.000003860016,0.000001118192,0.000003472032,0.00006149754,0.000002939689,0.0000491017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058617,"threshold_uncertainty_score":0.02104908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07441313796292094,"score_gpt":0.3653106578846054,"score_spread":0.2908975199216844,"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."}}