{"id":"W2759784647","doi":"10.1016/j.envpol.2017.09.058","title":"Microplastic sampling with the AVANI trawl compared to two neuston trawls in the Bay of Bengal and South Pacific","year":2017,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Marine Environmental Observation Prediction and Response Network","keywords":"BENGAL; Bay; Oceanography; Environmental science; Sampling (signal processing); Fishery; Geology; Biology; Engineering","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":[0.0002229412,0.0004791679,0.0003788779,0.0009157944,0.001433286,0.001002855,0.0005800044,0.0005045934,0.001356947],"category_scores_gemma":[0.0008343029,0.0002418511,0.0003417504,0.001053928,0.0006524057,0.000693979,0.0008730174,0.0003593873,0.0003124799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762808,"about_ca_system_score_gemma":0.001101141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2572722,"about_ca_topic_score_gemma":0.4321609,"domain_scores_codex":[0.9996551,0.00004475511,0.00001898612,0.00009630885,0.00008813228,0.00009672609],"domain_scores_gemma":[0.9994122,0.00006365372,0.0001557079,0.00003393803,0.0001990341,0.0001354533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001791736,0.0001561878,0.8938885,0.00009526596,0.0001344319,0.0005990264,0.003242707,0.0005898071,0.07964928,0.00009480229,0.0001701819,0.01958805],"study_design_scores_gemma":[0.000009701912,0.0002378629,0.9920681,0.000006606835,0.00005182272,0.0001024725,0.002029523,0.0005630589,0.004523491,0.00001294595,0.000384981,0.00000952124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992556,0.00003643568,0.00008231527,0.00001581148,0.000004098298,0.000005009621,0.00005981218,0.000002375753,0.0005385474],"genre_scores_gemma":[0.9973827,0.00008047862,0.00027686,0.00002097493,0.000005970346,0.000008835625,0.000107982,0.000004212638,0.002111981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2572722,"threshold_uncertainty_score":0.5115494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272875268992183,"score_gpt":0.2155881000619996,"score_spread":0.2028593473720778,"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."}}