{"id":"W4213239631","doi":"10.1016/j.aquatox.2022.106123","title":"Nano-sized polystyrene plastics toxicity to microalgae Chlorella vulgaris: Toxicity mitigation using humic acid","year":2022,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Alzahra University; Al Zahra University; Iran National Science Foundation","keywords":"Chlorella vulgaris; Toxicity; Chemistry; Polystyrene; Humic acid; Algae; Acute toxicity; Sorption; Photosynthesis; Chlorophyll; Zeta potential; Chlorophyll a; Nuclear chemistry; Environmental chemistry; Food science; Botany; Biology; Nanoparticle; Biochemistry; Organic chemistry; Materials science; Adsorption; Nanotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008729156,0.0002739154,0.0001411629,0.0001576914,0.0001893224,0.0002325418,0.0001178234,0.0003120956,0.0007915862],"category_scores_gemma":[0.0001081462,0.0001172543,0.0002667303,0.000118347,0.0001545086,0.0001508554,0.0002222065,0.0001700928,0.0001290705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918911,"about_ca_system_score_gemma":0.0003226041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004197726,"about_ca_topic_score_gemma":0.005258739,"domain_scores_codex":[0.9998939,0.00001190571,0.000008396778,0.00002374317,0.00003518758,0.00002687253],"domain_scores_gemma":[0.9999359,0.000009473463,0.00001220414,0.000005154161,0.00002267816,0.0000146386],"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":[0.000131729,0.00001709181,0.0004046609,0.00003706312,0.00000704937,0.00003465159,0.000012416,0.0002357877,0.9980825,0.000013365,0.00001929663,0.001004417],"study_design_scores_gemma":[0.000005514597,0.0002928026,0.004830966,0.000004414872,0.00001676146,0.00003420327,0.00007217013,0.0005620714,0.9936122,0.00001931475,0.0005443244,0.000005111456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984624,0.0003110024,0.0004161347,0.00003781965,0.00001423318,0.000007114165,0.0001062837,0.00001016496,0.0006347944],"genre_scores_gemma":[0.9974838,0.0003223198,0.0003813069,0.00004173669,0.000003194198,0.000006424078,0.000098365,0.000003022822,0.001659684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004197726,"threshold_uncertainty_score":0.008346558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326376457447266,"score_gpt":0.2329276277042626,"score_spread":0.21966386312979,"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."}}