{"id":"W4315782218","doi":"10.3389/frsen.2022.1038287","title":"UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo","year":2023,"lang":"en","type":"article","venue":"Frontiers in Remote Sensing","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"University of Utah","keywords":"Snow; Albedo (alchemy); Remote sensing; Environmental science; Snowmelt; Satellite; Snowpack; Geology; Meteorology; Geography; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002387238,0.00008442612,0.0001862644,0.00004524726,0.0001225841,0.00002169889,0.00004404542,0.00002562333,0.000008734823],"category_scores_gemma":[0.0001440278,0.00007759465,0.00004202585,0.0002681621,0.00006841026,0.00005965623,0.00001209471,0.00006449162,6.761229e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009264651,"about_ca_system_score_gemma":0.00001801369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917883,"about_ca_topic_score_gemma":0.001673708,"domain_scores_codex":[0.9992849,0.00002399783,0.000164077,0.000183579,0.0001015838,0.0002418782],"domain_scores_gemma":[0.9995322,0.0002669016,0.00005031975,0.00008692603,0.00002500165,0.00003871309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001614528,0.000003145974,0.5985849,0.00002944946,0.00002212385,0.00001189456,0.0007237817,0.00159247,0.0001285481,0.000006651764,0.005310641,0.3935702],"study_design_scores_gemma":[0.0002734122,0.00001311111,0.4942878,0.00002565535,0.000007494435,0.000002111334,0.002302301,0.501047,0.00001338682,0.0006186874,0.001345442,0.00006355809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496112,0.0009094717,0.04428545,0.002039319,0.001533026,0.0003463792,0.0000562665,0.00005706149,0.001161838],"genre_scores_gemma":[0.5817576,0.0002497135,0.4175353,0.0001086175,0.00007657046,4.844706e-8,0.00003566939,0.000005423582,0.0002310743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994546,"threshold_uncertainty_score":0.3164218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438526277679472,"score_gpt":0.251341681112558,"score_spread":0.2369564183357633,"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."}}