{"id":"W4377018960","doi":"10.31223/x5v955","title":"Inferring Inherent Optical Properties of Sea Ice Using 360-Degree Camera Radiance Measurements","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Polarforskningssekretariatet; Université Laval","keywords":"Radiance; Radiative transfer; Sea ice; Remote sensing; Arctic; Atmospheric radiative transfer codes; Snow; Geology; Environmental science; Physics; Atmospheric sciences; Optics; Meteorology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001535709,0.0003417277,0.0001814735,0.0005526628,0.0001366449,0.0003877566,0.000214343,0.0001333733,0.0006479152],"category_scores_gemma":[0.0003403547,0.0001519262,0.0001992031,0.0004188005,0.0001421456,0.0004114461,0.0002513739,0.0001819204,0.0001940517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292694,"about_ca_system_score_gemma":0.0004245346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009014084,"about_ca_topic_score_gemma":0.02320108,"domain_scores_codex":[0.9999148,0.00001155299,0.00000303923,0.0000253377,0.00002796373,0.00001736335],"domain_scores_gemma":[0.9999182,0.00001951729,0.00001491919,0.00001111585,0.00002781384,0.000008468533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002300771,0.0001620395,0.1538301,0.0001786486,0.0000978491,0.0001591312,0.0003825766,0.06972929,0.6227955,0.001024392,0.000592496,0.150818],"study_design_scores_gemma":[0.00003804424,0.0001549313,0.3089882,0.0000251272,0.0000845085,0.0002898079,0.0004465476,0.4926777,0.193836,0.0006569076,0.002721835,0.00008038328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9102848,0.000122721,0.08716495,0.00001848262,0.000008207247,0.00002374321,0.0004872468,0.0002288198,0.001660878],"genre_scores_gemma":[0.9533929,0.0001315367,0.04567017,0.00001081252,0.00000463534,0.000009719968,0.0004616195,0.00003560687,0.0002830799],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009014084,"threshold_uncertainty_score":0.01792318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2780443163212063,"score_gpt":0.2861277572052591,"score_spread":0.008083440884052773,"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."}}