{"id":"W7028598322","doi":"","title":"Estimation of Phytoplankton Chlorophyll-a Concentration in the Western Basin of Lake Erie Using Sentinel-2 and Sentinel-3 Data","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Metallurgical and Alloy Processes","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Drive & Gear (Canada)","funders":"University of Waterloo","keywords":"Radiance; Algal bloom; Eutrophication; Multispectral image; Colored dissolved organic matter; Chlorophyll a; Phytoplankton; Bloom; Pixel","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":[0.000330768,0.0003008363,0.0001817608,0.0004409594,0.0001583569,0.000270763,0.0001878051,0.0002364553,0.000367769],"category_scores_gemma":[0.0003185545,0.0001738117,0.0002456026,0.0005005319,0.00007565581,0.0003098814,0.0003241063,0.0001160086,0.0001198017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003579879,"about_ca_system_score_gemma":0.0003510286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04541475,"about_ca_topic_score_gemma":0.1136345,"domain_scores_codex":[0.9998568,0.00001735511,0.000009988468,0.00003830231,0.00004289034,0.00003451657],"domain_scores_gemma":[0.9999065,0.00001120465,0.00001812247,0.00000745729,0.00004714241,0.000009546501],"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":[0.0004631605,0.0001526024,0.8293067,0.0001488875,0.000209732,0.0003865965,0.0005988417,0.01620036,0.09649543,0.0002225184,0.00162996,0.05418522],"study_design_scores_gemma":[0.00003511556,0.0001393987,0.9213964,0.00001897239,0.00009586076,0.0001050967,0.0006787707,0.06167717,0.01307261,0.00005442862,0.002687624,0.00003852995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980908,0.00004552332,0.0007469542,0.00001439825,0.000001806517,0.00001015513,0.0005229019,0.000052077,0.0005153551],"genre_scores_gemma":[0.986854,0.0001061075,0.009400559,0.00004347906,0.000003233492,0.00002889832,0.002505397,0.00001506667,0.001043322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9545853,"threshold_uncertainty_score":0.0903008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787985070881399,"score_gpt":0.2483509489274731,"score_spread":0.2204710982186592,"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."}}