{"id":"W1977627410","doi":"10.4319/lo.2012.57.4.1025","title":"Radiance fluctuations induced by surface waves can enhance the appearance of underwater objects","year":2012,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Radiance; Contrast (vision); Underwater; Optics; Physics; Fish <Actinopterygii>; Spatial frequency; Biology; Geology; Fishery; Oceanography","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":[0.0001485977,0.0001846287,0.0001486059,0.0002580433,0.00007775943,0.0002539721,0.00012663,0.0001691218,0.0007345585],"category_scores_gemma":[0.0008354317,0.000145869,0.0001362587,0.00014465,0.0002241613,0.0002522853,0.000254517,0.0003085427,0.00008814585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241438,"about_ca_system_score_gemma":0.00007234928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003127947,"about_ca_topic_score_gemma":0.0004389579,"domain_scores_codex":[0.999912,0.00001306563,0.000004536864,0.00001680933,0.00003222217,0.00002135727],"domain_scores_gemma":[0.999668,0.0001460633,0.00007643725,0.00002909266,0.00004309847,0.00003736277],"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":[0.0001872581,0.00001717555,0.00315736,0.00003078938,0.000008090842,0.00010429,0.00005413882,0.0002816003,0.9907745,0.00006245398,0.00002307565,0.005299302],"study_design_scores_gemma":[0.00003224776,0.001207312,0.4969071,0.0000191019,0.00006442238,0.0007275642,0.0002301425,0.007673464,0.4922188,0.000291246,0.0005982287,0.00003031558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975804,0.00005007684,0.001942065,0.00000588832,0.000002986085,0.000006048446,0.00001122952,0.00001681028,0.0003844755],"genre_scores_gemma":[0.9976109,0.00007193837,0.001958417,0.00001259975,0.000003379485,0.000007166929,0.00002558912,0.00001122532,0.0002987467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007345585,"threshold_uncertainty_score":0.00245738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009533629727923388,"score_gpt":0.2372296294095063,"score_spread":0.2276959996815829,"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."}}