{"id":"W2071095244","doi":"10.1016/j.etap.2014.10.006","title":"Predicting the environmental impact of nanosilver","year":2014,"lang":"en","type":"review","venue":"Environmental Toxicology and Pharmacology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Genomics; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silver nanoparticle; Environmental impact assessment; Environmental chemistry; Fish <Actinopterygii>; Environmental science; Sediment; Nanotechnology; Chemistry; Nanoparticle; Ecology; Materials science; Biology; Fishery","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":[0.0009757334,0.001287618,0.001167516,0.001163761,0.0001520809,0.0009789305,0.001185616,0.001416849,0.00148075],"category_scores_gemma":[0.001162172,0.000357458,0.0006246998,0.00111215,0.0003659745,0.001342279,0.0005983017,0.001099079,0.0008255855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007847348,"about_ca_system_score_gemma":0.001149239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002866469,"about_ca_topic_score_gemma":0.004492308,"domain_scores_codex":[0.9997109,0.00003467292,0.00001679382,0.0000655125,0.0001529832,0.00001912889],"domain_scores_gemma":[0.9994614,0.0002518633,0.0000739584,0.00002421789,0.0001731892,0.00001538966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004618771,0.00005681381,0.00130044,0.006580363,0.0001638662,0.0001013267,0.00002464033,0.01154095,0.01230226,0.004958907,0.008717419,0.9542068],"study_design_scores_gemma":[0.00001998259,0.0002537017,0.004948923,0.004081034,0.0006250041,0.0008871885,0.0001534192,0.0171585,0.06801386,0.01998096,0.883756,0.0001215168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002579566,0.9829307,0.01013568,0.00067615,0.0003622355,0.00001767061,0.0001527011,0.00005979917,0.003085438],"genre_scores_gemma":[0.0115162,0.9810423,0.004899486,0.0001916617,0.0001654509,0.00001031245,0.0001680916,0.00001209438,0.001994486],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002866469,"threshold_uncertainty_score":0.005699515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257492778774219,"score_gpt":0.3256335223419413,"score_spread":0.3030585945541991,"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."}}