{"id":"W4284972492","doi":"10.1016/j.jhazmat.2022.129559","title":"Nanotechnology in agriculture: Comparison of the toxicity between conventional and nano-based agrochemicals on non-target aquatic species","year":2022,"lang":"en","type":"review","venue":"Journal of Hazardous Materials","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Clean Air Regulatory Agenda","keywords":"Agrochemical; Agriculture; Toxicity; Aquatic environment; Aquatic toxicology; Aquatic ecosystem; Environmental science; Biochemical engineering; Biotechnology; Toxicology; Environmental chemistry; Biology; Chemistry; Ecology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241782,0.0002652657,0.002064486,0.0001652128,0.0001165087,0.00006471673,0.0006897448,0.0002134497,0.0006807599],"category_scores_gemma":[0.000243224,0.0001535323,0.0002819757,0.0002738571,0.0002000714,0.00004753383,0.0001574351,0.0002482367,0.00001292757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366573,"about_ca_system_score_gemma":0.000208299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007696893,"about_ca_topic_score_gemma":0.000002611806,"domain_scores_codex":[0.9967649,0.0004537658,0.001839127,0.0002363524,0.000480893,0.0002249631],"domain_scores_gemma":[0.9964999,0.0005976552,0.002504518,0.0002967835,0.00004761726,0.00005350538],"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":[0.00002124503,0.0002963404,0.00008078932,0.001380511,0.00004131714,0.00000267319,0.0000324382,0.000009359357,0.9932001,0.0002376241,0.0007092863,0.003988316],"study_design_scores_gemma":[0.0002576208,0.000128963,0.00009015555,0.002386173,0.0002361842,0.00002233631,0.00003691044,6.914841e-7,0.868726,0.0003290026,0.1276218,0.0001642016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628239,0.2351491,0.00003543352,0.0003424794,0.0004999845,0.0007194537,0.0003934276,0.00001183233,0.00002436891],"genre_scores_gemma":[0.7566807,0.2415034,0.001128718,0.00005434807,0.0003568843,0.0001311308,0.00003550723,0.0000473333,0.00006197041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1269125,"threshold_uncertainty_score":0.7453843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04868604926190737,"score_gpt":0.3113469189194386,"score_spread":0.2626608696575312,"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."}}