{"id":"W2034293509","doi":"10.1016/j.ecoenv.2011.11.012","title":"Inhibitory effects of silver nanoparticles in two green algae, Chlorella vulgaris and Dunaliella tertiolecta","year":2011,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":369,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chlorella vulgaris; Algae; Silver nanoparticle; Dunaliella; Green algae; Botany; Lipid peroxidation; Biology; Chlorella; Chemistry; Biochemistry; Antioxidant; Nanoparticle; Materials science; Nanotechnology","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":[0.0001224508,0.0003221345,0.0002050515,0.0001985432,0.0001753979,0.000243034,0.0001652098,0.0003519615,0.0005023206],"category_scores_gemma":[0.0001913258,0.0001481719,0.00020426,0.0001224587,0.0001712455,0.00009716589,0.0001945117,0.0002428072,0.0001049908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740402,"about_ca_system_score_gemma":0.0002388366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005328122,"about_ca_topic_score_gemma":0.00496937,"domain_scores_codex":[0.999842,0.00002701014,0.00001538287,0.00002552162,0.00005072846,0.00003922871],"domain_scores_gemma":[0.9998645,0.00004274432,0.00001860821,0.00001083893,0.00003390489,0.00002948614],"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":[0.000231307,0.00001780189,0.0002418101,0.00004339804,0.000005609222,0.00002942632,0.00002569825,0.00006724198,0.9986423,0.00001802934,0.0000194136,0.0006580633],"study_design_scores_gemma":[0.0000083427,0.0002797527,0.002637004,0.000002821132,0.00001527043,0.00004589816,0.00004899014,0.0003555639,0.9962626,0.00001282349,0.0003268052,0.000004127152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986754,0.0004004908,0.0002431012,0.00002296828,0.00001230544,0.000003844165,0.0000754615,0.0000154657,0.0005510285],"genre_scores_gemma":[0.9981545,0.0002530169,0.0003654678,0.00001898368,0.000002819331,0.000004878331,0.0001224597,0.000005675844,0.001072109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005328122,"threshold_uncertainty_score":0.01059419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007075575048769819,"score_gpt":0.2007467965904704,"score_spread":0.1936712215417006,"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."}}