{"id":"W4390828260","doi":"10.5194/egusphere-2023-3023","title":"Global Sensitivity Analysis of simulated polarimetric remote sensing observations over snow","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of STEM Engagement; Nuclear Safety and Security Commission; York University; National Aeronautics and Space Administration","keywords":"Snowpack; Polarimetry; Albedo (alchemy); Remote sensing; Snow; Zenith; Atmosphere (unit); Ice crystals; Solar zenith angle; Sensitivity (control systems); Environmental science; Radiative transfer; Optics; Scattering; Meteorology; Physics; Geology","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":[0.00259905,0.0007229683,0.0003907808,0.0007363064,0.0002704786,0.0005980508,0.0003504336,0.0006313773,0.0004976763],"category_scores_gemma":[0.004724616,0.0003189858,0.001037526,0.0005501115,0.0004664897,0.0006694816,0.0004609307,0.0003758938,0.00005712824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004543,"about_ca_system_score_gemma":0.0002258615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007141542,"about_ca_topic_score_gemma":0.002052748,"domain_scores_codex":[0.9993917,0.0003411282,0.00002030246,0.0001099192,0.00008137301,0.00005565879],"domain_scores_gemma":[0.9967597,0.002757973,0.0001391598,0.0001409936,0.0001679417,0.00003434913],"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":[0.00009909434,0.00002212376,0.005886836,0.00002492856,0.00007929672,0.00005399955,0.00001709147,0.9886838,0.002866876,0.0003148545,0.0000539188,0.001897239],"study_design_scores_gemma":[0.00001205535,0.00009019305,0.00906718,0.000006298504,0.0000271081,0.00002125796,0.00002469801,0.987327,0.002827706,0.0005153148,0.00006636195,0.00001474466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819227,0.0001094764,0.01632539,0.00008446154,0.00001496373,0.000040728,0.0005062225,0.0001567751,0.0008392443],"genre_scores_gemma":[0.9985555,0.0000219958,0.00107944,0.00001685361,0.000003079894,0.00001067102,0.0002369153,0.00001314226,0.00006246476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007141542,"threshold_uncertainty_score":0.01419991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161227701522593,"score_gpt":0.2706730458812362,"score_spread":0.2290607688660103,"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."}}