{"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 cryosphere","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003784827,0.0001316538,0.0001458012,0.00001093282,0.0004079807,0.00005789109,0.0003293772,0.00004923993,0.001141802],"category_scores_gemma":[0.00006090379,0.00007674487,0.00001958285,0.0001964383,0.00007052632,0.0002563824,0.0000797035,0.00006256288,0.00007890049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009071238,"about_ca_system_score_gemma":0.00006775177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396016,"about_ca_topic_score_gemma":0.06208789,"domain_scores_codex":[0.9989272,0.00002196597,0.0002594737,0.0003252821,0.00015981,0.0003062747],"domain_scores_gemma":[0.9987628,0.000692655,0.00008081453,0.0003678602,0.0000402308,0.00005557525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001652003,0.00001326991,0.8936032,0.0000146225,0.00002748488,0.000001100653,0.0002401868,0.0002920116,0.000004827647,0.00001257332,0.002794508,0.1029797],"study_design_scores_gemma":[0.000459421,0.00001421905,0.7580765,0.00002690069,0.00001051918,0.000001199187,0.0003362838,0.00868381,0.000008473452,0.0001508678,0.2321021,0.0001296799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922861,0.001799815,0.00290823,0.001049323,0.0002983007,0.0005231986,0.0002552038,0.00004221943,0.0008375412],"genre_scores_gemma":[0.9889048,0.0001043323,0.008650422,0.0004149575,0.0001080654,0.00001113237,0.0001154396,0.000007204709,0.001683681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2293076,"threshold_uncertainty_score":0.9997713,"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."}}