{"id":"W2612665604","doi":"10.1039/c7en00093f","title":"Transformations of silver nanoparticles in wastewater effluents: links to Ag bioavailability","year":2017,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Bioavailability; Chlamydomonas reinhardtii; Effluent; Silver nanoparticle; Wastewater; Nanoparticle; Environmental chemistry; Chemistry; Environmental science; Nanotechnology; Materials science; Environmental engineering; Biology; Biochemistry","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":[0.0002202243,0.0002466184,0.0001724483,0.0002203818,0.0001255623,0.0004678997,0.0001722561,0.0004253713,0.0009412845],"category_scores_gemma":[0.0003636123,0.0002006959,0.0002064067,0.0001527717,0.0002214848,0.0001973039,0.0001799707,0.0004153924,0.0003428831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004398651,"about_ca_system_score_gemma":0.0002014762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065561,"about_ca_topic_score_gemma":0.001836501,"domain_scores_codex":[0.9998412,0.00002120517,0.00001370831,0.00004050517,0.00004512812,0.00003817612],"domain_scores_gemma":[0.9998298,0.00005082647,0.0000488078,0.00001664288,0.00003933796,0.00001465101],"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":[0.0001310053,0.00002848265,0.001622048,0.00003248837,0.000007331591,0.00003617391,0.00002758054,0.0001869541,0.9953974,0.00008183112,0.00006433814,0.00238444],"study_design_scores_gemma":[0.000002573856,0.00007428651,0.004328509,0.000002959788,0.000006066833,0.00003873418,0.00003234214,0.0004075801,0.9947425,0.00007112283,0.0002902269,0.000003045316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956203,0.000756874,0.001969719,0.0001177798,0.00001367894,0.000007864696,0.0002067598,0.00005087492,0.00125618],"genre_scores_gemma":[0.9977283,0.0003154715,0.0005630042,0.00003344932,0.000002389974,0.000004340621,0.0001146045,0.00001105484,0.001227467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002065561,"threshold_uncertainty_score":0.004107058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313890734566535,"score_gpt":0.2495595827872195,"score_spread":0.2364206754415541,"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."}}