{"id":"W3000274995","doi":"10.1002/9781118786352.wbieg0558.pub2","title":"Snow Cover Changes","year":2018,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Snowpack; Snow; Environmental science; Albedo (alchemy); Snow line; Snow field; Northern Hemisphere; Precipitation; Climatology; Arctic; Latitude; Snowmelt; Cryosphere; Climate change; Physical geography; Atmospheric sciences; Snow cover; Geography; Sea ice; Geology; Meteorology; Oceanography","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":[0.0003071246,0.0002763449,0.0001688043,0.001082931,0.000356273,0.0006755592,0.0002712089,0.0002666339,0.02105301],"category_scores_gemma":[0.001478267,0.00006448303,0.0003703493,0.001732941,0.0001117537,0.0005560984,0.0006173357,0.000287004,0.004783288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005928984,"about_ca_system_score_gemma":0.0004218445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294734,"about_ca_topic_score_gemma":0.01756516,"domain_scores_codex":[0.9996116,0.0000381983,0.00004062599,0.00009758484,0.0001447579,0.00006723706],"domain_scores_gemma":[0.9996387,0.00003629037,0.0001054659,0.00003246775,0.0001396114,0.0000473967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003225202,0.0001183662,0.3929942,0.001295067,0.0003980447,0.0005725042,0.001313608,0.002464423,0.003021742,0.005397291,0.1446755,0.4474269],"study_design_scores_gemma":[0.00001658881,0.00005316242,0.6232437,0.0001808656,0.00006624113,0.0005109663,0.0005147826,0.001007596,0.0006100543,0.001130639,0.3726503,0.00001509015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4645865,0.009816849,0.004114992,0.003087711,0.001378367,0.000474844,0.1817508,0.001068191,0.3337218],"genre_scores_gemma":[0.8427307,0.004881659,0.001718567,0.0008857107,0.0005705529,0.0002067002,0.08408002,0.0001698691,0.06475631],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02105301,"threshold_uncertainty_score":0.07042938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009626651919272084,"score_gpt":0.2190264384057798,"score_spread":0.2093997864865078,"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."}}