{"id":"W4385336405","doi":"10.1016/j.trac.2023.117208","title":"Toxicity of microplastics and nanoplastics to Daphnia magna: Current status, knowledge gaps and future directions","year":2023,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"","keywords":"Microplastics; Daphnia magna; Toxicity; Daphnia; Environmental science; Polystyrene; Environmental chemistry; Toxicology; Materials science; Chemistry; Biology; Polymer; Ecology; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001238075,0.0001795461,0.0002282165,0.0001028097,0.00006767738,0.00002086945,0.00008473755,0.0001146314,0.0006390738],"category_scores_gemma":[0.0001215458,0.0001715464,0.00003644995,0.000926397,0.0002270698,0.00003685519,0.0001793678,0.0002359093,0.00004459073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000879903,"about_ca_system_score_gemma":0.00001674694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000183889,"about_ca_topic_score_gemma":0.0001367981,"domain_scores_codex":[0.9987953,0.00001818015,0.0002947399,0.0003603086,0.0001637041,0.0003677731],"domain_scores_gemma":[0.9993055,0.0001962668,0.00004692071,0.0001434236,0.00001139491,0.0002964446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003141338,0.001618938,0.1490703,0.0009580933,0.0001021362,0.00006510874,0.002488265,0.00146046,0.4117542,0.0008230894,0.04662884,0.3847165],"study_design_scores_gemma":[0.001239798,0.0001571803,0.6125102,0.0001702695,0.0001795651,0.00004162259,0.0002435432,0.03622774,0.02227528,0.0002183675,0.3259459,0.000790555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941253,0.0004184952,0.0001979429,0.0001293081,0.0001907895,0.00004104254,0.0002947144,0.00003482577,0.004567578],"genre_scores_gemma":[0.9973455,0.001126396,0.0004316413,0.000008235757,0.0001111553,0.000004469796,0.00003863322,0.00001375101,0.0009202367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4634399,"threshold_uncertainty_score":0.6997411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247838654379202,"score_gpt":0.2701544590439626,"score_spread":0.2576760725001706,"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."}}