{"id":"W2153154617","doi":"10.1038/ngeo737","title":"Contribution of Alaskan glaciers to sea-level rise derived from satellite imagery","year":2010,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":358,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Glacier; Geology; Elevation (ballistics); Glacier morphology; Physical geography; Digital elevation model; Climatology; Thinning; Ice field; Surge; Sea level; Glacier mass balance; Cryosphere; Sea ice; Oceanography; Ice stream; Geomorphology; Geography; Remote sensing","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":[0.0003889069,0.0002781662,0.0001952114,0.001199429,0.0002661975,0.0006310387,0.0001844705,0.0002930229,0.0008581963],"category_scores_gemma":[0.001456228,0.0001550835,0.0003408017,0.0009407426,0.0001283246,0.000402709,0.0003124719,0.000263976,0.0002165259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320255,"about_ca_system_score_gemma":0.0003390124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05114841,"about_ca_topic_score_gemma":0.07621131,"domain_scores_codex":[0.9998814,0.00002805422,0.00001160922,0.0000358997,0.00002436633,0.00001872214],"domain_scores_gemma":[0.9994757,0.0002110746,0.00006983028,0.000042116,0.0001540357,0.00004724286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000344571,0.00004503653,0.9547684,0.00009723764,0.0003238418,0.0003983864,0.000328959,0.01061501,0.005660144,0.0002151529,0.001284888,0.02591833],"study_design_scores_gemma":[0.00001144324,0.00002916946,0.9854314,0.00003016496,0.0002077751,0.00009044352,0.000237141,0.01114022,0.0009641947,0.0001057357,0.001740135,0.00001220038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951243,0.0004962338,0.0002594054,0.00006562062,0.00003338383,0.000003286119,0.001606978,0.00005434618,0.002356563],"genre_scores_gemma":[0.9971207,0.0003403671,0.0003094406,0.00001314891,0.00002030651,0.000001990846,0.001684858,0.000009694012,0.0004994859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05114841,"threshold_uncertainty_score":0.1017014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037843817604342,"score_gpt":0.2269923985377643,"score_spread":0.2166139603617209,"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."}}