{"id":"W4295491498","doi":"10.1016/j.marpolbul.2022.114091","title":"Baseline marine litter abundance and distribution on Saint Martin Island, Bay of Bengal, Bangladesh","year":2022,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Abundance (ecology); Bay; Transect; Marine debris; Fishing; Litter; Fishery; Baseline (sea); Shore; BENGAL; Environmental science; Geography; Ecology; Oceanography; Biology; Archaeology; Geology","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":[0.0006630044,0.0001794634,0.0001863262,0.00004858854,0.0003215219,0.00001901053,0.0001358688,0.0000475684,0.04548655],"category_scores_gemma":[0.0001240849,0.0001773343,0.00005514929,0.0002050218,0.0001429094,0.00002640908,0.0006270086,0.0002564864,0.0002337053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362453,"about_ca_system_score_gemma":0.00001301369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338406,"about_ca_topic_score_gemma":0.0004416198,"domain_scores_codex":[0.9984385,0.0001863105,0.0003538867,0.000358095,0.00036833,0.0002948145],"domain_scores_gemma":[0.9994032,0.00009552629,0.0001669066,0.0002242239,0.00001116164,0.00009897531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002941995,0.00212716,0.389625,0.0001625853,0.0001035764,0.00009544114,0.0004603413,0.03404337,0.01680761,0.01815499,0.4397114,0.09576653],"study_design_scores_gemma":[0.0009574445,0.0004112633,0.2268158,0.00001089228,0.00002594612,0.00004729981,0.00002739356,0.009756738,0.0008585256,0.0003858003,0.7604344,0.0002684368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781812,0.00002843573,0.006972313,0.007603564,0.0003097698,0.0003372885,0.001033777,0.00004871976,0.005484866],"genre_scores_gemma":[0.9956477,0.00003066829,0.0004730486,0.0005819951,0.00006592339,0.00002377689,0.0004334006,0.0000148287,0.002728701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.320723,"threshold_uncertainty_score":0.955386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004413515094968287,"score_gpt":0.1793204196019322,"score_spread":0.1749069045069639,"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."}}