{"id":"W2767469146","doi":"10.1175/jcli-d-17-0198.1","title":"Variations of Climate, Surface Energy Budget, and Minimum Snow/Ice Extent over Canadian Arctic Landmass for 2000–16","year":2017,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Glacier; Climatology; Snow; Arctic; Environmental science; Cryosphere; Snowpack; Climate change; Climate model; Satellite; Physical geography; Atmospheric sciences; Sea ice; Geography; Geology; Meteorology","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":[0.0004812789,0.0004015792,0.0001851989,0.001486383,0.0009730003,0.0007013148,0.000499277,0.0002437001,0.000874037],"category_scores_gemma":[0.0006921455,0.0001557067,0.0003954378,0.002800904,0.0002893252,0.0002770408,0.0003146488,0.0002836261,0.000160813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01488351,"about_ca_system_score_gemma":0.01110406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922919,"about_ca_topic_score_gemma":0.9956594,"domain_scores_codex":[0.9997891,0.000007977715,0.00001213819,0.00004778802,0.00006799604,0.00007499765],"domain_scores_gemma":[0.9990366,0.00003196128,0.00008287896,0.00002350366,0.0006990203,0.0001261744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002117097,0.00003658725,0.9815753,0.00008279891,0.000170083,0.00009171764,0.0003465628,0.002643144,0.001717224,0.0002438279,0.004368077,0.008513002],"study_design_scores_gemma":[0.000003531517,0.000005221812,0.9961302,0.00001161971,0.00001982429,0.00001305113,0.000173909,0.001353979,0.0001887552,0.00001013678,0.002082992,0.000006731156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768843,0.0005943895,0.0001288336,0.0001710598,0.0000158129,0.00001287935,0.01951059,0.00003998997,0.002642063],"genre_scores_gemma":[0.9867033,0.0002378482,0.0002763782,0.00003640968,0.000004719987,0.000009510624,0.01162663,0.000006971279,0.001098295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01488351,"threshold_uncertainty_score":0.1079879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801084409902237,"score_gpt":0.2433820351728581,"score_spread":0.2253711910738357,"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."}}