{"id":"W1626234301","doi":"","title":"Snow albedo feedback: comparing climate models with new observational data","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Albedo (alchemy); Climatology; Snow; Observational study; Environmental science; Meteorology; Climate model; Climate change; Remote sensing; Geography; Geology; Mathematics; Statistics; History","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002703126,0.000257258,0.0002825911,0.00002740228,0.0003933711,0.0003190793,0.0007931258,0.00009337284,0.001178187],"category_scores_gemma":[0.00005995999,0.0002026259,0.00003624754,0.0002276201,0.00008219273,0.001186499,0.0001023909,0.0003591061,0.0002076634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004333421,"about_ca_system_score_gemma":0.0003539552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01060193,"about_ca_topic_score_gemma":0.1153797,"domain_scores_codex":[0.9980694,0.00001636003,0.0003755188,0.0005504147,0.0004348294,0.0005534794],"domain_scores_gemma":[0.9985444,0.0001613158,0.0001898974,0.0006648388,0.0001590801,0.0002804869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008342054,0.00006414227,0.7890133,0.00001822583,0.00009176481,0.00001814286,0.0002604674,0.1624099,0.0009804994,0.006769793,0.01153645,0.02875384],"study_design_scores_gemma":[0.0003271396,0.00004208335,0.8432142,0.00002131341,0.00002271447,0.00001091998,0.00009437231,0.1487344,0.00007213834,0.0009212049,0.006260779,0.0002788256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822567,0.0000824251,0.00110083,0.001861665,0.0005754637,0.0001829432,0.0001490105,0.00008143869,0.01370954],"genre_scores_gemma":[0.9727191,0.00008972317,0.02383384,0.0004865542,0.0005669283,0.000001856943,0.001569631,0.000008600258,0.0007238191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047778,"threshold_uncertainty_score":0.9997349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460100002157614,"score_gpt":0.2750566688939957,"score_spread":0.1290466686782342,"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."}}