{"id":"W3170141042","doi":"10.5194/tc-15-4483-2021","title":"Development of a diffuse reflectance probe for in situ measurement of inherent optical properties in sea ice","year":2021,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canada Excellence Research Chairs, Government of Canada; Compute Canada; Université Laval","keywords":"Scattering; Monte Carlo method; Optics; Attenuation coefficient; Diffuse reflection; Absorption (acoustics); Optical depth; Light scattering; Sea ice; Materials science; Computational physics; Physics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000884477,0.0004009417,0.0003669114,0.0003139982,0.0001795494,0.0004343774,0.0007208971,0.0006579467,0.0007133214],"category_scores_gemma":[0.000727715,0.00029374,0.0003485139,0.000271501,0.0002920189,0.0005634516,0.0004881556,0.0006505966,0.0003819437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003926286,"about_ca_system_score_gemma":0.0004376265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006595703,"about_ca_topic_score_gemma":0.0009275661,"domain_scores_codex":[0.999676,0.00005948759,0.00001126098,0.0001212021,0.0001070783,0.00002498446],"domain_scores_gemma":[0.9996736,0.0001271014,0.00004350298,0.0000558876,0.00007782792,0.00002214963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004667719,0.00003649075,0.0009405109,0.00003939125,0.000008924773,0.0000241651,0.00003726186,0.001538624,0.9883204,0.0003214095,0.00006889783,0.008617265],"study_design_scores_gemma":[0.00001787883,0.0003584984,0.002856705,0.0000102749,0.00002519959,0.0001790937,0.00004338207,0.07402787,0.91968,0.0002542986,0.002509323,0.00003757729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.350199,0.0003268074,0.646323,0.000115391,0.00005166063,0.000201298,0.0004631578,0.0007795529,0.001540087],"genre_scores_gemma":[0.4409669,0.000291017,0.5566822,0.00009737127,0.00001489499,0.0003148499,0.0003041546,0.00008352278,0.001245164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000884477,"threshold_uncertainty_score":0.004677594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789433865806698,"score_gpt":0.228276262923557,"score_spread":0.19038192426549,"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."}}