{"id":"W4292452183","doi":"10.3390/nano12152730","title":"Ecotoxicity of Heteroaggregates of Polystyrene Nanospheres in Chironomidae and Amphibian","year":2022,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval; Makivik Corporation; McGill University","funders":"Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail","keywords":"Chironomus riparius; Ecotoxicity; Xenopus; Environmental chemistry; Genotoxicity; Ecotoxicology; Amphibian; Chironomus; Bufo; Chironomidae; Toxicity; Aquatic toxicology; Polystyrene; Midge; Larva; Chemistry; Biology; Toxicology; Ecology; Toad; Polymer; Biochemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007711735,0.0002305553,0.00009026902,0.0002602155,0.0001219525,0.0001159652,0.00007802393,0.0002120485,0.0005400968],"category_scores_gemma":[0.0001050106,0.00009109049,0.0001542166,0.00008736918,0.0001187261,0.00009534615,0.0001276195,0.0001455475,0.00008034686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779804,"about_ca_system_score_gemma":0.0001216958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179218,"about_ca_topic_score_gemma":0.003384996,"domain_scores_codex":[0.9999253,0.000009460091,0.000004677202,0.00002054982,0.00002733883,0.00001274904],"domain_scores_gemma":[0.9999328,0.00001395936,0.00002394441,0.000003105001,0.00001549408,0.00001071088],"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":[0.00005149617,0.00001170223,0.001322495,0.00006490541,0.000007865814,0.00006018894,0.00003010608,0.0001526397,0.9964525,0.00002066928,0.00003331953,0.00179216],"study_design_scores_gemma":[0.000004744536,0.001563258,0.06734005,0.00002257998,0.0000530019,0.0002844449,0.0001716823,0.0009706715,0.9273408,0.00003172001,0.002203699,0.00001342782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982223,0.0006951001,0.0002595329,0.00001929643,0.000006936234,0.00001052319,0.0001356345,0.00001004408,0.0006407402],"genre_scores_gemma":[0.9972647,0.0007423728,0.0005979771,0.00003242158,0.00000471906,0.00001631648,0.0001650878,0.000003666903,0.001172658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00179218,"threshold_uncertainty_score":0.003563523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004648893232917999,"score_gpt":0.1809510779071126,"score_spread":0.1763021846741946,"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."}}