{"id":"W2071625580","doi":"10.1016/j.marpolbul.2013.01.016","title":"A simple technique for counting marine debris at sea reveals steep litter gradients between the Straits of Malacca and the Bay of Bengal","year":2013,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Polar Knowledge Canada","keywords":"Bay; BENGAL; Debris; Marine debris; Environmental science; Oceanography; Litter; Abundance (ecology); Physical geography; Geology; Fishery; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002366578,0.0004402593,0.000282393,0.003590732,0.000736947,0.0005530274,0.0007392337,0.0005182193,0.002459101],"category_scores_gemma":[0.0007036538,0.0002453852,0.0002542912,0.002043205,0.0005533092,0.0003773858,0.0006414943,0.0002860533,0.0008599582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600954,"about_ca_system_score_gemma":0.0003997205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325473,"about_ca_topic_score_gemma":0.05125375,"domain_scores_codex":[0.9997273,0.00002332668,0.000025662,0.00007162383,0.0001076048,0.0000445123],"domain_scores_gemma":[0.9993317,0.0001221165,0.0002368597,0.00006365096,0.000125257,0.0001204607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004379577,0.00007055658,0.4761957,0.0002961977,0.0001267106,0.0008358912,0.001075367,0.0002379972,0.4477916,0.0001635516,0.0009360127,0.07183236],"study_design_scores_gemma":[0.00000803752,0.0001502225,0.9849417,0.00001284277,0.00002856552,0.0008656784,0.0003840018,0.0002862793,0.01150862,0.00004969212,0.001745341,0.0000190086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798118,0.0008403779,0.01123875,0.0001652449,0.0001115826,0.0001417035,0.002115153,0.0002187793,0.0053566],"genre_scores_gemma":[0.961192,0.0006984315,0.03082498,0.0001068231,0.00007344721,0.0001224609,0.001380413,0.00005508197,0.005546406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325473,"threshold_uncertainty_score":0.02635515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006368008621650738,"score_gpt":0.1942885674688935,"score_spread":0.1879205588472428,"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."}}