{"id":"W2324653632","doi":"10.5194/tc-10-1707-2016","title":"MABEL photon-counting laser altimetry data in Alaska for ICESat-2simulations and development","year":2016,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Goddard Space Flight Center; Advanced Storage Research Consortium; University of Minnesota; National Aeronautics and Space Administration; National Science Foundation","keywords":"Altimeter; Lidar; Elevation (ballistics); Remote sensing; Glacier; Satellite; Snow; Geology; Satellite altimetry; Snowpack; Environmental science; Geomorphology","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":[0.0007539116,0.0003756699,0.0001997994,0.0008347672,0.0004576927,0.000540491,0.0004579552,0.0002925623,0.002770221],"category_scores_gemma":[0.0008597522,0.0002292445,0.000398429,0.0009933587,0.0001325585,0.0005993813,0.0003968698,0.0004103993,0.0009019481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008318056,"about_ca_system_score_gemma":0.001153538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07225942,"about_ca_topic_score_gemma":0.1320524,"domain_scores_codex":[0.9997315,0.00004905591,0.00001985847,0.00006769011,0.0001027198,0.0000291812],"domain_scores_gemma":[0.9995061,0.00004839198,0.00004586277,0.0001011954,0.0002632875,0.00003504289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005034289,0.0007617689,0.3857625,0.0002766844,0.0004254111,0.0005478453,0.0006877757,0.4144988,0.01229898,0.003546777,0.05463934,0.1260508],"study_design_scores_gemma":[0.000193411,0.000167404,0.3151755,0.0001349535,0.0001403464,0.0001567702,0.0008958505,0.5815122,0.01597993,0.002535839,0.08298357,0.0001241686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8855031,0.0002873383,0.0182419,0.0003017188,0.0002517761,0.0001651012,0.07741223,0.002831968,0.01500497],"genre_scores_gemma":[0.8842274,0.0001185018,0.03425471,0.0000717365,0.00002945666,0.0002199015,0.07764298,0.0002228838,0.003212558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07225942,"threshold_uncertainty_score":0.1436777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198590762000893,"score_gpt":0.2511099430397811,"score_spread":0.2091240354197722,"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."}}