{"id":"W3085428337","doi":"10.1175/jhm-d-20-0012.1","title":"New Allometric Equations for Arctic Shrubs and Their Application for Calculating the Albedo of Surfaces with Snow and Protruding Branches","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Makivik Corporation","funders":"Institut Polaire Français Paul Emile Victor; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fondation BNP Paribas; Natural Sciences and Engineering Research Council of Canada; BNP Paribas Cardif","keywords":"Snow; Albedo (alchemy); Shrub; Allometry; Environmental science; Vegetation (pathology); Arctic; Atmospheric sciences; Tree allometry; Arctic vegetation; Hydrology (agriculture); Ecology; Geology; Tundra; Meteorology; Geography; Biomass (ecology); Biology","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":[0.0006701969,0.0007275909,0.0002985405,0.001136435,0.0003922869,0.0005038343,0.0008321552,0.0002869112,0.001321294],"category_scores_gemma":[0.001603816,0.0003371805,0.0007664093,0.0009119553,0.0002398858,0.0004637667,0.0002630419,0.0005870168,0.0006288997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452287,"about_ca_system_score_gemma":0.0008522584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05006975,"about_ca_topic_score_gemma":0.05142994,"domain_scores_codex":[0.9997037,0.00005956491,0.00002052424,0.00007464547,0.0001200567,0.00002152142],"domain_scores_gemma":[0.9995715,0.0001266155,0.00005868577,0.00003087068,0.0001969145,0.00001526453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007849576,0.0002420981,0.1024158,0.0002877751,0.0002006998,0.0001966443,0.0004994881,0.6032282,0.06079752,0.004764234,0.001871914,0.2254171],"study_design_scores_gemma":[0.0000103283,0.00002070319,0.04441083,0.0000157738,0.0000179468,0.00006128147,0.00004177343,0.9484657,0.004560976,0.0005935193,0.001775467,0.00002567419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3140537,0.0003518636,0.6794698,0.00006122588,0.00004924384,0.0001963686,0.0008811127,0.001111278,0.003825394],"genre_scores_gemma":[0.7283341,0.0002766014,0.2679896,0.0000389065,0.00001846935,0.0003378075,0.0007496846,0.0002378659,0.002017012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05006975,"threshold_uncertainty_score":0.09955662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607204704332551,"score_gpt":0.2461237871532834,"score_spread":0.2000517401099579,"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."}}