{"id":"W2922699723","doi":"10.1016/j.marpolbul.2019.03.036","title":"Spatial trends and drivers of marine debris accumulation on shorelines in South Eleuthera, The Bahamas using citizen science","year":2019,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"GRID-Arendal","keywords":"Debris; Marine debris; Oceanography; Shore; Ocean gyre; Environmental science; Abundance (ecology); Spatial distribution; Physical geography; Fishery; Geology; Geography; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004247714,0.0001217839,0.0001226696,0.0001545528,0.0001105432,0.00002604805,0.0001447246,0.00004765074,0.003705631],"category_scores_gemma":[0.00008481621,0.0000941996,0.00002775365,0.0003847807,0.0002863707,0.00003438084,0.0003270332,0.0001031856,0.00008229919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124573,"about_ca_system_score_gemma":0.00001956675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003522522,"about_ca_topic_score_gemma":0.0004757921,"domain_scores_codex":[0.9989232,0.00004745148,0.0002247471,0.0002762538,0.0003061482,0.0002221533],"domain_scores_gemma":[0.9995944,0.00004901359,0.0001168988,0.0001780274,0.00001202925,0.00004961949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002565815,0.00007280759,0.8545407,0.00000962898,0.000007581777,0.000001888492,0.0006140911,0.04448804,0.03634783,0.0005051618,0.0002469124,0.06290879],"study_design_scores_gemma":[0.00061967,0.0000979515,0.9221297,0.00001543295,0.000009984864,0.000005026657,0.00004793073,0.07304414,0.001321542,0.0001122132,0.002468667,0.0001277382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950809,0.000003315583,0.0007952284,0.0006501087,0.0001346927,0.0001293389,0.00001328766,0.000008758585,0.003184387],"genre_scores_gemma":[0.9987193,0.000008241916,0.0006074976,0.000109295,0.00003484437,0.00000176578,0.000008484598,0.000008085925,0.0005025177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.067589,"threshold_uncertainty_score":0.9972051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131970348745595,"score_gpt":0.2295501536414266,"score_spread":0.2163531187668671,"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."}}