{"id":"W3059704149","doi":"","title":"Using Spaceborne Laser Altimetry to Assess Elevation Change in Arctic Canada: Implications for the Major Ice Sheets","year":2008,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Altimeter; Geology; Remote sensing; Satellite altimetry; Arctic; Climatology; Ice sheet; The arctic; Sea ice; Cryosphere; Climate change; Arctic ice pack; Geodesy; Physical geography; Oceanography; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000951799,0.0002740073,0.0001969727,0.0007634778,0.001105507,0.001731999,0.0004856539,0.0004846518,0.0005337651],"category_scores_gemma":[0.002258807,0.0001429502,0.0002560538,0.001938143,0.0005540908,0.0005931833,0.0003936865,0.0003838586,0.000139116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008415798,"about_ca_system_score_gemma":0.01174273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750794,"about_ca_topic_score_gemma":0.9854311,"domain_scores_codex":[0.9996787,0.00004156647,0.00001425797,0.00004838894,0.0001501712,0.00006687661],"domain_scores_gemma":[0.998884,0.000179496,0.0001364933,0.0000355886,0.0006753077,0.00008915491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002396743,0.00009050783,0.9412647,0.00006919281,0.0001988962,0.00009779989,0.0007748918,0.01015644,0.004148702,0.0002524654,0.001051834,0.04165478],"study_design_scores_gemma":[0.00003123973,0.00004131296,0.9790168,0.0000396682,0.0001218427,0.00002858016,0.001825662,0.01554959,0.001319719,0.0002343031,0.001769109,0.00002212049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955732,0.0003350376,0.0005121871,0.0004443652,0.00001811124,0.00001484143,0.0006521852,0.00002314837,0.002426875],"genre_scores_gemma":[0.9973145,0.0003420336,0.001066362,0.00008611295,0.000009168384,0.000005616448,0.0003993368,0.000006799364,0.0007700771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02492058,"threshold_uncertainty_score":0.0610612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204593910500966,"score_gpt":0.2888889514698745,"score_spread":0.1684295604197779,"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."}}