{"id":"W3159631390","doi":"10.1080/11956860.2021.1898775","title":"New northern snowpack classification linked to vegetation cover on a latitudinal mega-transect across northeastern Canada","year":2021,"lang":"en","type":"article","venue":"Ecoscience","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval; Center for Northern Studies; Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Snowpack; Snow; Transect; Tundra; Boreal; Physical geography; Taiga; Environmental science; Subarctic climate; Arctic; Vegetation (pathology); Climate change; Shrub; Snowmelt; Climatology; Geography; Ecology; Geology; Oceanography; Forestry; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002899551,0.0003455791,0.0002486809,0.002377775,0.002141343,0.001118571,0.000528688,0.0001953027,0.003354092],"category_scores_gemma":[0.0007025416,0.0001407606,0.0002548759,0.004458347,0.0002908089,0.0003038971,0.0005593744,0.0003996106,0.0004482923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008747269,"about_ca_system_score_gemma":0.01561672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993877,"about_ca_topic_score_gemma":0.9985132,"domain_scores_codex":[0.9998001,0.0000105705,0.00000823428,0.00003779715,0.00005118151,0.00009211168],"domain_scores_gemma":[0.9983099,0.00003752637,0.0001108858,0.00003410372,0.00120141,0.0003062327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001554571,0.00003426665,0.9617639,0.00004092379,0.00005803909,0.0001147225,0.00155232,0.0006013569,0.002004901,0.0003371531,0.01229223,0.02104476],"study_design_scores_gemma":[0.000002845932,0.000005536378,0.993265,0.00002699802,0.00001243212,0.00002620164,0.001604899,0.0004149676,0.0001361905,0.00003819566,0.004460728,0.000005974173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653533,0.0004777997,0.000677812,0.0002940545,0.00004862978,0.00007355121,0.01969329,0.00008036021,0.01330118],"genre_scores_gemma":[0.9713123,0.0003874296,0.00177338,0.000075814,0.00001030409,0.00004952109,0.01519757,0.00003208098,0.01116159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008747269,"threshold_uncertainty_score":0.06346613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242169982913422,"score_gpt":0.2426414119840644,"score_spread":0.2102197121549301,"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."}}