{"id":"W2529189634","doi":"10.14358/pers.82.10.767","title":"The Influence of Elliptical Gaussian Laser Beam on Inversion of Terrain Information for Satellite Laser Altimeter","year":2016,"lang":"en","type":"article","venue":"Photogrammetric Engineering & Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Lethbridge; National Aeronautics and Space Administration","keywords":"Altimeter; Terrain; Remote sensing; Geodesy; Geology; Inversion (geology); Satellite; Laser; Geography; Gaussian beam; Optics; Beam (structure); Cartography; Seismology; Physics; Engineering; Aerospace engineering","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":[0.002021706,0.0003876566,0.0002812237,0.0005021821,0.0003073042,0.0005639212,0.0003808414,0.0004841088,0.0004794951],"category_scores_gemma":[0.007572918,0.0002456218,0.0003950689,0.0005661724,0.0005630927,0.0009046579,0.0006169081,0.0004072184,0.0001305208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004436632,"about_ca_system_score_gemma":0.0007963717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096179,"about_ca_topic_score_gemma":0.007447086,"domain_scores_codex":[0.9987829,0.0003665423,0.00005453205,0.0001609163,0.0004761478,0.0001589326],"domain_scores_gemma":[0.9965758,0.001895468,0.0002459318,0.0003428191,0.0008790301,0.00006096605],"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":[0.001339433,0.0001329336,0.05745673,0.0002087159,0.0002138712,0.0003189265,0.0004311179,0.709116,0.1075215,0.002146596,0.0005249277,0.1205891],"study_design_scores_gemma":[0.0000279295,0.00009422038,0.01413841,0.00001709791,0.00005731762,0.00006894369,0.0001019072,0.9312412,0.05359249,0.0003648853,0.0002630337,0.00003264608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.866582,0.0002725122,0.1311779,0.0001385933,0.00003210364,0.00002388508,0.00009926166,0.0004853919,0.001188362],"genre_scores_gemma":[0.9829425,0.0001044966,0.01655667,0.00003521987,0.000005887578,0.000008657546,0.00009947243,0.0000454486,0.0002017221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01096179,"threshold_uncertainty_score":0.02179599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006388822764181564,"score_gpt":0.2067285546069087,"score_spread":0.2003397318427272,"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."}}