{"id":"W4296799743","doi":"10.1002/etc.5485","title":"Experimental Evidence from the Field that Naturally Weathered Microplastics Accumulate Cyanobacterial Toxins in Eutrophic Lakes","year":2022,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Métis National Council; University of Toronto; Ministry of Environment; University of Guelph; Ministry of the Environment, Conservation and Parks; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microplastics; Eutrophication; Environmental chemistry; Environmental science; Ecology; Cyanobacteria; Biology; Chemistry; Bacteria; Nutrient","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003855092,0.0003288986,0.0001819326,0.000192588,0.000434988,0.0002669593,0.0002747733,0.0003406561,0.001165487],"category_scores_gemma":[0.0006130171,0.0002108239,0.0001772295,0.0002107084,0.0005490075,0.0004228838,0.0003946114,0.0003707947,0.0001438599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004809989,"about_ca_system_score_gemma":0.0003939994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155674,"about_ca_topic_score_gemma":0.008294116,"domain_scores_codex":[0.9996742,0.00007332893,0.00002665272,0.00009116686,0.0001002741,0.00003442533],"domain_scores_gemma":[0.9988105,0.0003890603,0.000370291,0.00009140685,0.0002681925,0.0000705959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000204695,0.00007599661,0.01266677,0.0001622231,0.00002525421,0.00007116653,0.0001577598,0.0001433603,0.9828095,0.00006527564,0.0000995028,0.00351849],"study_design_scores_gemma":[0.00004566241,0.001967354,0.2140115,0.00004650959,0.0001022839,0.0004430282,0.0003685805,0.001370347,0.7779998,0.0002448286,0.003371508,0.00002867789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969332,0.0005049232,0.001368042,0.0001041571,0.000006514696,0.00002014389,0.0001037306,0.00001927309,0.0009399854],"genre_scores_gemma":[0.9940922,0.0007632165,0.00374809,0.000174716,0.00002231116,0.0000371215,0.0002167047,0.00001125273,0.0009344625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004155674,"threshold_uncertainty_score":0.008262932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068615143755506,"score_gpt":0.2159477681306712,"score_spread":0.2052616166931161,"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."}}