{"id":"W2064122529","doi":"10.1080/02626667.2012.666853","title":"Snow cover and snowmelt of an extensive High Arctic wetland: spatial and temporal seasonal patterns","year":2012,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Snowmelt; Snow; Environmental science; Arctic; Physical geography; Snow field; Spatial distribution; Climatology; Atmospheric sciences; Hydrology (agriculture); Snow cover; Geology; Geography; Meteorology; Oceanography; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008466666,0.0001269136,0.0002077811,0.00005844497,0.000348376,0.0001225988,0.0001592611,0.00007853555,0.009483362],"category_scores_gemma":[0.00006938979,0.00007568232,0.00003534809,0.0001020464,0.0005291601,0.0005845989,0.0000318442,0.0002033271,0.00002185429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003015457,"about_ca_system_score_gemma":0.00002130784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031624,"about_ca_topic_score_gemma":0.001643089,"domain_scores_codex":[0.9986462,0.0001429147,0.0002043229,0.0002005951,0.0003697533,0.0004361935],"domain_scores_gemma":[0.9991207,0.0002073915,0.0001375523,0.00005823765,0.00003941655,0.0004366867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004922801,0.00002678687,0.9934596,0.00000681652,0.000004770268,0.00002179397,0.0002350121,0.0000408812,0.0001043989,0.00001207531,0.00003184449,0.006006777],"study_design_scores_gemma":[0.0002832574,0.0008877179,0.9909056,0.00001845285,0.00001458479,0.0009273207,0.0001588242,0.005513219,0.0000370483,0.0007649866,0.0003659735,0.0001230479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980261,0.0006693262,0.00004274152,0.0004371342,0.0002877575,0.0000576565,0.0002458933,0.00000599548,0.0002273518],"genre_scores_gemma":[0.9983501,0.0003791658,0.0001707562,0.0005254768,0.0004944224,2.715978e-7,0.00006646613,0.000001486269,0.00001188639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009461507,"threshold_uncertainty_score":0.9914221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160626289778167,"score_gpt":0.2586187970839159,"score_spread":0.2170125341861342,"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."}}