{"id":"W2252300188","doi":"10.1038/nclimate2899","title":"Greenland meltwater storage in firn limited by near-surface ice formation","year":2016,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":269,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Energistyrelsen; Danmarks Frie Forskningsfond; Svensk Kärnbränslehantering; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Utrecht; Nuclear Waste Management Organization; National Aeronautics and Space Administration","keywords":"Firn; Meltwater; Geology; Ice formation; Future sea level; Ice core; Physical geography; Earth science; Greenland ice sheet; Climatology; Snow; Ice sheet; Ice stream; Cryosphere; Environmental science; Oceanography; Atmospheric sciences; Geomorphology; Sea ice; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00023454,0.0001642414,0.0003382278,0.0004742481,0.0004280005,0.0006724618,0.0003274213,0.0003434378,0.001377356],"category_scores_gemma":[0.000376216,0.0001464522,0.000246511,0.000511753,0.0004165699,0.0008934788,0.0004650089,0.0001821652,0.0002254393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739892,"about_ca_system_score_gemma":0.0006932512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1326933,"about_ca_topic_score_gemma":0.2708381,"domain_scores_codex":[0.999922,0.000008413889,0.000004978745,0.00002581608,0.000007064706,0.00003172813],"domain_scores_gemma":[0.999803,0.00003281034,0.00005508697,0.00002283981,0.00003537501,0.00005085207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002420542,0.0001455115,0.9459438,0.00005524622,0.0002156979,0.0004170635,0.001196246,0.004371359,0.03325433,0.0007152008,0.001325442,0.009939509],"study_design_scores_gemma":[0.000008609652,0.00002011971,0.9967511,0.000006021717,0.00001630042,0.00002208346,0.0002485664,0.001438449,0.0008928731,0.00008233612,0.0005086159,0.000005012215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990757,0.00003509979,0.00002317264,0.00001824456,0.000001510148,8.156385e-7,0.0004718693,0.000003939928,0.0003695549],"genre_scores_gemma":[0.9988393,0.00001577505,0.0000339026,0.0000155366,0.000001438549,0.00000197916,0.0007397354,0.000004101798,0.0003482905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326933,"threshold_uncertainty_score":0.2638418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729525125258879,"score_gpt":0.2309421155657747,"score_spread":0.2036468643131859,"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."}}