{"id":"W4246415608","doi":"10.1002/9781118786352.wbieg0558","title":"Snow Cover Changes","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"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":[0.0003305833,0.0002765191,0.0001680344,0.001149798,0.0003426676,0.000682973,0.0002737744,0.0002527934,0.02238427],"category_scores_gemma":[0.001532743,0.00006292849,0.0003933387,0.001829421,0.0001126039,0.0005760706,0.0006497323,0.0002822713,0.005036178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006196623,"about_ca_system_score_gemma":0.00047059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340657,"about_ca_topic_score_gemma":0.01833358,"domain_scores_codex":[0.9995832,0.00004210896,0.00004520934,0.00009928688,0.0001615996,0.00006864493],"domain_scores_gemma":[0.9996181,0.00003889857,0.0001087271,0.00003346238,0.0001518842,0.00004890792],"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":[0.0003122224,0.0001125774,0.3566878,0.001450446,0.000395615,0.0005711762,0.001210114,0.002322995,0.002536673,0.005601938,0.1517571,0.4770411],"study_design_scores_gemma":[0.00001690065,0.00004993848,0.5642934,0.0002207897,0.00007166747,0.0005610396,0.0005295289,0.0009996148,0.0006337592,0.001230749,0.4313764,0.00001613696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4064787,0.01061896,0.003983768,0.002974917,0.001423464,0.000495093,0.2041512,0.001083664,0.3687903],"genre_scores_gemma":[0.8146288,0.005921135,0.001848558,0.0009264289,0.0006220826,0.0002272619,0.09829191,0.0001948799,0.07733883],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02238427,"threshold_uncertainty_score":0.07488281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169576000972649,"score_gpt":0.2291706566176103,"score_spread":0.2174748966078838,"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."}}