{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002803716,0.0009503076,0.0006876182,0.0008679864,0.0006439025,0.001047993,0.001531161,0.001039015,0.001499596],"category_scores_gemma":[0.005866028,0.0005372787,0.001409743,0.0009125433,0.0004858576,0.002150095,0.0005247199,0.0005794336,0.0004556923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588518,"about_ca_system_score_gemma":0.0009104416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05155746,"about_ca_topic_score_gemma":0.03792544,"domain_scores_codex":[0.9994503,0.0002126259,0.00005464994,0.0001565997,0.00008427715,0.00004152761],"domain_scores_gemma":[0.9964624,0.001969258,0.0003676561,0.0004739967,0.0005615628,0.000165231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00141774,0.000511363,0.1932685,0.0003193709,0.00133943,0.0001741605,0.0002580181,0.773627,0.006257507,0.000816557,0.003366906,0.01864351],"study_design_scores_gemma":[0.0006201574,0.0001364603,0.1064123,0.00003748901,0.0005085707,0.00005963946,0.0001042094,0.88583,0.003565116,0.001349216,0.001301497,0.00007536173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888032,0.0002770602,0.003931582,0.0005636059,0.0001178134,0.00002742054,0.003700259,0.0006686822,0.001910473],"genre_scores_gemma":[0.9968085,0.00009424343,0.001171504,0.00005522618,0.00004241492,0.00001773335,0.001594597,0.00009625181,0.0001195287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05155746,"threshold_uncertainty_score":0.1025147,"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."}}