{"id":"W2118155558","doi":"10.5194/tc-6-199-2012","title":"Large surface meltwater discharge from the Kangerlussuaq sector of the Greenland ice sheet during the record-warm year 2010 explained by detailed energy balance observations","year":2012,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Svensk Kärnbränslehantering; Natural Environment Research Council; Sight Research UK; Nuclear Waste Management Organization","keywords":"Greenland ice sheet; Meltwater; Snow; Albedo (alchemy); Snowmelt; Ablation zone; Ice sheet; Ice-albedo feedback; Climatology; Environmental science; Atmospheric sciences; Glacier mass balance; Geology; Cryosphere; Ice stream; Geomorphology; Glacier; Sea ice","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459232,0.0003261518,0.0002135827,0.0004614787,0.0002300489,0.0004961159,0.0002214804,0.000207896,0.0005293288],"category_scores_gemma":[0.0004210596,0.0001829021,0.0004173826,0.0006988638,0.0002016207,0.00036239,0.0003728352,0.000129669,0.00008846609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316786,"about_ca_system_score_gemma":0.0008411041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1451176,"about_ca_topic_score_gemma":0.2203752,"domain_scores_codex":[0.9998969,0.0000119454,0.00001110082,0.00003583348,0.00002110827,0.00002315129],"domain_scores_gemma":[0.9997558,0.00002657424,0.0001044016,0.00002828599,0.00005674725,0.0000281823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002805452,0.00001858797,0.9938645,0.00001257187,0.00005629618,0.00009015453,0.0001024449,0.001057099,0.001824737,0.00003604151,0.0002169829,0.00269257],"study_design_scores_gemma":[0.000002975447,0.000006028923,0.9965419,0.000003980302,0.00001329872,0.00001594534,0.00008453379,0.002963282,0.0001632587,0.00001735764,0.0001842325,0.000003073973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998997,0.00003782021,0.00007872897,0.00002748195,0.000002331777,0.00000274138,0.0006412821,0.00001557127,0.0001969166],"genre_scores_gemma":[0.9985764,0.0000301641,0.00009995394,0.00001408608,0.000002468491,0.000003325535,0.001130612,0.000002903505,0.0001401671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451176,"threshold_uncertainty_score":0.2885458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159852726162259,"score_gpt":0.1882775791382915,"score_spread":0.1722923065220656,"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."}}