{"id":"W4302757620","doi":"10.1139/dsa-2022-0007","title":"In-situ manipulations of aquatic optical depth and its effect on small unoccupied aerial systems–derived spectral reflectance","year":2022,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mesocosm; Remote sensing; Hyperspectral imaging; Environmental science; Water quality; Waves and shallow water; In situ; Aquatic ecosystem; Geology; Ecology; Oceanography; Physics; Meteorology; Ecosystem; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001515388,0.0002922709,0.0001791019,0.00008007227,0.0001818648,0.0003030974,0.0002350791,0.0001795072,0.0004655225],"category_scores_gemma":[0.0002741105,0.0001330218,0.0002078324,0.0001082537,0.0002540597,0.0003063003,0.0003233461,0.0003608086,0.00005802096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005204989,"about_ca_system_score_gemma":0.0002561541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004662052,"about_ca_topic_score_gemma":0.007299605,"domain_scores_codex":[0.9998789,0.00001729646,0.000006889629,0.00004618445,0.00003057215,0.00002021652],"domain_scores_gemma":[0.9998165,0.00006265168,0.0000570867,0.0000244058,0.00002341705,0.00001603609],"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":[0.0001184443,0.00008057562,0.009709327,0.00003416146,0.000009825681,0.00001723251,0.00004722795,0.0009580412,0.9860741,0.00005430598,0.00002197439,0.002874695],"study_design_scores_gemma":[0.00003183298,0.0009178651,0.2053092,0.000009615842,0.00005895802,0.0000396146,0.0002771697,0.02262305,0.7694682,0.0002190286,0.001025615,0.00001989375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979774,0.00002835944,0.001522097,0.00001114518,0.000004009811,0.0000100833,0.00006681827,0.00001043177,0.0003694998],"genre_scores_gemma":[0.9976793,0.00005427045,0.001929296,0.00002019395,0.00000117501,0.00002192578,0.00006976922,0.000004277585,0.0002198641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004662052,"threshold_uncertainty_score":0.009269834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186048300895274,"score_gpt":0.228379776829365,"score_spread":0.2097749467398376,"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."}}