{"id":"W3023449883","doi":"","title":"Quantifying the uncertainty in historical and future simulations of Northern Hemisphere spring snow cover","year":2016,"lang":"en","type":"article","venue":"AGUFM","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; University of Toronto; University of Waterloo","funders":"","keywords":"Coupled model intercomparison project; Northern Hemisphere; Climatology; Spring (device); Environmental science; Snow; Snow cover; Climate model; Climate system; Atmospheric sciences; Climate change; Physical geography; Meteorology; Geography; Geology; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.00006768101,0.00005035836,0.00008110231,0.000006184356,0.00009997263,0.000006530967,0.0000624356,0.00002432918,0.0004005331],"category_scores_gemma":[0.00004843794,0.00002563744,0.0000207607,0.000125079,0.00003320782,0.00005629482,0.000009416111,0.00003972871,0.000008322689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270912,"about_ca_system_score_gemma":0.00001367181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01010682,"about_ca_topic_score_gemma":0.09369108,"domain_scores_codex":[0.9995936,0.00001581115,0.0001154901,0.00009378854,0.00008183668,0.00009954161],"domain_scores_gemma":[0.999474,0.0003487219,0.00003965361,0.00009403435,0.00002209208,0.00002149089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004968158,0.000004017448,0.9529138,0.000003458024,0.000005252368,7.08732e-7,0.0001820081,0.01119465,0.00002289278,0.00008321348,0.00007189284,0.03551317],"study_design_scores_gemma":[0.0001440577,0.00001085129,0.9335194,0.00001420143,0.000004630682,4.173122e-7,0.0002015574,0.007154069,0.000003782222,0.00008798511,0.05881133,0.00004772309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949521,0.001600184,0.00006740683,0.002770052,0.0001504689,0.00005536807,0.00001347645,0.000006703842,0.0003842208],"genre_scores_gemma":[0.9993483,0.000248818,0.00008226482,0.00006226173,0.00009964083,3.863218e-7,0.000001825012,0.000001358622,0.0001551473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08358426,"threshold_uncertainty_score":0.996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059716655978684,"score_gpt":0.2284459196091231,"score_spread":0.1978487530493362,"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."}}