{"id":"W2766268889","doi":"10.1016/j.marpolbul.2017.10.001","title":"Plastic pollution in the Labrador Sea: An assessment using the seabird northern fulmar Fulmarus glacialis as a biological monitoring species","year":2017,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; Memorial University of Newfoundland; Acadia University","funders":"Environment and Climate Change Canada; Marine Environmental Observation Prediction and Response Network; Acadia University","keywords":"Seabird; Plastic pollution; Marine debris; Oceanography; Arctic; Marine pollution; Ecology; Environmental science; Fishery; Pollution; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001057798,0.0002848986,0.0002168973,0.00005825019,0.001559634,0.000345358,0.0007988958,0.0001410315,0.002189546],"category_scores_gemma":[0.0005078908,0.0001777159,0.00008784747,0.0001726825,0.000512493,0.0001504584,0.0005966857,0.0004008539,0.0003323404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116031,"about_ca_system_score_gemma":0.00004954355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314383,"about_ca_topic_score_gemma":0.004768523,"domain_scores_codex":[0.9977279,0.0003814535,0.0003687053,0.0004555194,0.0005250705,0.0005413708],"domain_scores_gemma":[0.9987594,0.0001678881,0.0002817995,0.0006614683,0.00001927622,0.0001101609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002958294,0.0004961574,0.9540632,0.00001491721,0.00003787629,0.00009849126,0.0009042542,0.009330471,0.01405614,0.003272185,0.001253137,0.01617739],"study_design_scores_gemma":[0.0004863964,0.0001492377,0.9657996,0.00002072913,0.00002790582,0.00005998486,0.0004273202,0.003929147,0.0001307627,0.0005051045,0.02821644,0.0002473249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869537,0.00001633861,0.001759897,0.00556214,0.0007581885,0.0003724863,0.00005222651,0.00004208711,0.004482978],"genre_scores_gemma":[0.9980976,0.00003989453,0.0007392917,0.0002863224,0.0004982408,0.00002719116,0.00001787986,0.00001814375,0.0002754407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0269633,"threshold_uncertainty_score":0.9997402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019230487473757,"score_gpt":0.2805765504468103,"score_spread":0.2503842455720727,"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."}}