{"id":"W4389339733","doi":"10.3390/jox13040048","title":"Micro and Nanoplastic Contamination and Its Effects on Freshwater Mussels Caged in an Urban Area","year":2023,"lang":"en","type":"article","venue":"Journal of Xenobiotics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Contamination; Microplastics; Environmental science; Environmental chemistry; Effluent; Pollution; Stormwater; Biota; Combined sewer; Surface runoff; Environmental engineering; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003226029,0.00009824052,0.0001435192,0.0001280849,0.00005898172,0.00003781678,0.00006207304,0.00006844728,0.00003848138],"category_scores_gemma":[0.0001688464,0.00007850698,0.00001545689,0.0001371648,0.0000384844,0.0001357432,0.00003908544,0.0001570973,0.00002899351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007212147,"about_ca_system_score_gemma":0.000008865357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004413985,"about_ca_topic_score_gemma":0.0001208687,"domain_scores_codex":[0.9992739,0.00006260485,0.0002149186,0.0001159114,0.00016538,0.0001672661],"domain_scores_gemma":[0.9994309,0.0002822996,0.0001172817,0.00004958905,0.000013005,0.0001069324],"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":[0.0001168241,0.0001040891,0.07804219,0.00006049836,0.00001480332,0.0002413827,0.001321029,0.002257368,0.9140161,0.00006833673,0.001523914,0.002233523],"study_design_scores_gemma":[0.002035664,0.001532526,0.871876,0.0002831719,0.00006051058,0.0001650082,0.0001047881,0.02898611,0.09274545,0.0002673443,0.001669345,0.0002741168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993153,0.00004158906,0.0001674446,0.00008095487,0.0002586154,0.00008029196,0.00001399823,0.000005732986,0.00003611795],"genre_scores_gemma":[0.9995085,0.00007525301,0.0001967075,0.00006417687,0.00004807736,3.022072e-7,0.000003312784,0.000008414872,0.00009525738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8212706,"threshold_uncertainty_score":0.3201422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008890830235762068,"score_gpt":0.2076523449209501,"score_spread":0.1987615146851881,"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."}}