{"id":"W4386163611","doi":"10.1039/d3en00343d","title":"Toxicity of particles and chemicals released from surgical face masks to the model aquatic organism <i>Daphnia magna</i>","year":2023,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Fisheries and Oceans Canada; Faculty of Engineering, McGill University; China Scholarship Council; Canada Foundation for Innovation; Canada Research Chairs","keywords":"Daphnia magna; Face masks; Daphnia; Organism; Aquatic environment; Coronavirus disease 2019 (COVID-19); Face (sociological concept); Environmental science; Environmental chemistry; Toxicity; Chemistry; Biology; Zoology; Ecology; Medicine; Crustacean","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":[0.0001140431,0.0002619615,0.0001392834,0.0001348644,0.000248095,0.0003126206,0.0001530988,0.0004227429,0.0013592],"category_scores_gemma":[0.0001733389,0.0001290218,0.0002772438,0.0001098169,0.0001607666,0.00009955709,0.0001895243,0.0002854191,0.0002294192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167683,"about_ca_system_score_gemma":0.0003407964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009596337,"about_ca_topic_score_gemma":0.008022707,"domain_scores_codex":[0.9998368,0.00002471517,0.00001113153,0.00003363,0.00005223869,0.00004155398],"domain_scores_gemma":[0.9998605,0.00004115701,0.00003847849,0.0000122195,0.00003287544,0.00001470614],"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":[0.0008000119,0.00009328054,0.006578798,0.000240841,0.0000612822,0.0003231201,0.0001428615,0.002227669,0.9821358,0.0001631461,0.0007684901,0.006464699],"study_design_scores_gemma":[0.00004425794,0.004738404,0.04867702,0.00004410634,0.00008827836,0.0003792477,0.0004003604,0.003099842,0.9382141,0.0001444344,0.004132122,0.00003779227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956616,0.0003500312,0.0004105289,0.00006669494,0.00003700345,0.00002976009,0.0008331638,0.00001343357,0.002597769],"genre_scores_gemma":[0.9944107,0.0006156851,0.0007229473,0.0001281878,0.000009699156,0.0000187382,0.0009055234,0.000006591732,0.003181902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009596337,"threshold_uncertainty_score":0.019081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888080805202192,"score_gpt":0.2610457268816612,"score_spread":0.2421649188296393,"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."}}