{"id":"W2603673497","doi":"10.1016/j.envpol.2017.02.072","title":"Microplastic contamination in Lake Winnipeg, Canada","year":2017,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":478,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; University of Manitoba; International Institute for Sustainable Development","funders":"Lake Winnipeg Foundation","keywords":"Microplastics; Aquatic ecosystem; Freshwater ecosystem; Environmental science; Contamination; Ecosystem; Structural basin; Lake ecosystem; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137583,0.0002915791,0.0002849689,0.001669516,0.003489146,0.001399585,0.0007718045,0.0003529367,0.001326442],"category_scores_gemma":[0.00059072,0.0003180253,0.0002208932,0.002259032,0.0005934171,0.0002996175,0.0009253827,0.0002974609,0.0001619734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02692772,"about_ca_system_score_gemma":0.02474497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961636,"about_ca_topic_score_gemma":0.9985661,"domain_scores_codex":[0.9995922,0.00002588121,0.00002211952,0.00005264969,0.0001478135,0.0001593075],"domain_scores_gemma":[0.9994767,0.00001882138,0.00006137785,0.000005989594,0.0003494495,0.00008770541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003983839,0.00008372292,0.9469715,0.0003258999,0.0001272792,0.001368007,0.005467421,0.0006998149,0.01075214,0.0007861783,0.002817089,0.03020254],"study_design_scores_gemma":[0.00001290642,0.00003326713,0.9867508,0.00006342689,0.00003822162,0.0001695915,0.005624609,0.0006713613,0.001278183,0.00007506431,0.005267834,0.00001477475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931259,0.0006569646,0.0002364555,0.0003707731,0.00001436996,0.0000759531,0.001360155,0.00001896468,0.004140416],"genre_scores_gemma":[0.9937831,0.0005090731,0.0007067905,0.0001303451,0.000004255488,0.00002323119,0.0003290714,0.000009374085,0.004504591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02692772,"threshold_uncertainty_score":0.1953752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004441698694299427,"score_gpt":0.1774384141222819,"score_spread":0.1729967154279825,"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."}}