{"id":"W3092331717","doi":"10.5194/egusphere-egu2020-19145","title":"Detecting and Identifying Floating Plastic Debris in Coastal Waters using Sentinel-2 Earth Observation Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seawater; Marine debris; Debris; Oceanography; Environmental science; Remote sensing; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003787269,0.0002932355,0.0001629129,0.0009094909,0.0002173336,0.0002582904,0.00027364,0.0002272768,0.0004387012],"category_scores_gemma":[0.0006114967,0.0001398515,0.0001980716,0.0007816241,0.0001589995,0.0002597713,0.0003367019,0.0001425824,0.0002145587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672809,"about_ca_system_score_gemma":0.000388851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02636706,"about_ca_topic_score_gemma":0.05429361,"domain_scores_codex":[0.9998286,0.0000240046,0.00001885917,0.00004976778,0.0000505842,0.00002824495],"domain_scores_gemma":[0.999708,0.00005449372,0.00008373465,0.00003341405,0.00008863976,0.0000316268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001993368,0.0001334653,0.8457793,0.0001387049,0.00005239636,0.0006448213,0.0009085714,0.008219669,0.08341035,0.0001610483,0.001641531,0.05871092],"study_design_scores_gemma":[0.00004154074,0.0001722675,0.9206432,0.0000591164,0.0000495743,0.0002438707,0.002263511,0.05559398,0.01631552,0.0002232954,0.004361088,0.00003310167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99528,0.0000389639,0.001725072,0.00003663752,0.000006333607,0.00003938133,0.001835706,0.00007183891,0.0009660738],"genre_scores_gemma":[0.9755276,0.0001032789,0.01882787,0.00005418811,0.000009114771,0.00008752815,0.004594327,0.00001391102,0.0007821368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02636706,"threshold_uncertainty_score":0.05242717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0839229919916971,"score_gpt":0.2522453655407104,"score_spread":0.1683223735490132,"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."}}