{"id":"W2114544409","doi":"10.1016/j.marpolbul.2014.04.044","title":"Prevalence of marine debris in marine birds from the North Atlantic","year":2014,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; Memorial University of Newfoundland; University of Saskatchewan; Environment and Climate Change Canada; Carleton University","funders":"","keywords":"Marine debris; Debris; Puffinus; Fishery; Plastic pollution; Oceanography; Geography; Marine life; Ecology; Biology; Microplastics; Seabird; Geology; Predation","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":["insufficient_payload"],"category_scores_codex":[0.0004034879,0.0001853199,0.0001979706,0.00004633767,0.00008938076,0.00001828488,0.0003437913,0.00006820576,0.02497756],"category_scores_gemma":[0.000331127,0.0001415602,0.0000595109,0.0002682668,0.0001962875,0.00003272274,0.0009311555,0.0001907046,0.0008946128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007099,"about_ca_system_score_gemma":0.00001162702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03410548,"about_ca_topic_score_gemma":0.01105136,"domain_scores_codex":[0.9984766,0.0001504567,0.0004083703,0.0003354966,0.0003120792,0.0003169791],"domain_scores_gemma":[0.9991234,0.0002401565,0.0001689858,0.0003778067,0.00001118843,0.00007846174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006258518,0.00008045864,0.9821453,0.0000195676,0.000006914225,0.000002502082,0.00004324422,0.001001202,0.0007129909,0.0002325536,0.003712065,0.0119806],"study_design_scores_gemma":[0.0004903976,0.00006481364,0.9541501,0.00001852972,0.00002480834,0.00000660211,0.000004735485,0.003570561,0.0002099753,0.0005378216,0.04076596,0.000155625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884992,0.0000078472,0.001436209,0.001866,0.0001694424,0.0001936767,0.00004569667,0.00002882927,0.007753123],"genre_scores_gemma":[0.996391,0.00008803786,0.00161267,0.0003428509,0.00009161661,0.00001050507,0.00004972906,0.0000153167,0.001398297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0370539,"threshold_uncertainty_score":0.9998833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005085719923175734,"score_gpt":0.1762618199620257,"score_spread":0.1711761000388499,"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."}}