{"id":"W3131290618","doi":"10.3390/nano11020482","title":"Heteroaggregates of Polystyrene Nanospheres and Organic Matter: Preparation, Characterization and Evaluation of Their Toxicity to Algae in Environmentally Relevant Conditions","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail","keywords":"Environmental chemistry; Aquatic ecosystem; Polystyrene; Chemistry; Ecotoxicity; Pollutant; Nanotoxicology; Organic matter; Algae; Microplastics; Natural organic matter; Nanotechnology; Toxicity; Materials science; Ecology; Organic chemistry; Biology; Polymer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002824992,0.00008417862,0.0001639547,0.00002467536,0.00003457684,0.0000179184,0.00003573879,0.00004772362,0.003037349],"category_scores_gemma":[0.00005646981,0.00007875086,0.00001034086,0.00008439023,0.00006576972,0.0001067966,0.0000833075,0.00001263178,0.00001677179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005058728,"about_ca_system_score_gemma":0.00001690253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004447845,"about_ca_topic_score_gemma":0.0001242438,"domain_scores_codex":[0.9991461,0.000107134,0.000315903,0.0001896831,0.0001510875,0.0000900989],"domain_scores_gemma":[0.9996561,0.0000403896,0.0001470997,0.0001059762,0.000014181,0.00003622155],"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":[0.00002246511,0.00004781986,0.0221479,0.0000158151,0.000005795687,3.395429e-7,0.0003795571,0.00007677837,0.9768319,0.00001288237,0.00001407918,0.000444691],"study_design_scores_gemma":[0.0001914017,0.00004076238,0.3844463,0.00002924148,0.00001300364,0.000007103658,0.00002207461,0.0002485637,0.6148399,0.00008603626,0.0000274961,0.00004816231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990852,0.0000485364,0.0002094245,0.00005308143,0.00007474671,0.0002409481,0.0002464808,0.000003484225,0.00003802849],"genre_scores_gemma":[0.9995177,0.00006790087,0.0002159273,0.00003410699,0.000007888203,0.00001279809,0.0001041691,0.00000626695,0.00003323381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3622984,"threshold_uncertainty_score":0.997874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008222454242360965,"score_gpt":0.2270026407665968,"score_spread":0.2187801865242358,"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."}}