{"id":"W2055679299","doi":"10.1088/0957-4484/24/44/444002","title":"Electrochemical detection of commercial silver nanoparticles: identification, sizing and detection in environmental media","year":2013,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust","keywords":"Materials science; Cyclic voltammetry; Silver nanoparticle; Voltammetry; Sizing; Electrochemistry; Nanoparticle; Nanotechnology; Supporting electrolyte; Electrode; Chemistry; Organic chemistry","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":[0.0003596389,0.0004913648,0.0002561461,0.0003906748,0.0002003469,0.0003193165,0.0005328323,0.0009399013,0.0006857874],"category_scores_gemma":[0.0009109883,0.0002428255,0.0001594638,0.0002918224,0.0002815531,0.0003793737,0.0003063386,0.0003883194,0.000455564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220944,"about_ca_system_score_gemma":0.0001379374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004007111,"about_ca_topic_score_gemma":0.0009727079,"domain_scores_codex":[0.9996378,0.00006143612,0.0000207371,0.00009293066,0.0001591428,0.00002800268],"domain_scores_gemma":[0.9996269,0.0001447288,0.00004360949,0.00002503855,0.0001345727,0.00002521573],"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":[0.00003460716,0.00001448727,0.0002972275,0.00004860006,0.000004232705,0.00004016492,0.00002153941,0.00002978977,0.9948692,0.00003929314,0.00003883173,0.004561985],"study_design_scores_gemma":[0.000003220912,0.00008440102,0.0009035624,0.000003817428,0.000006333029,0.0002233264,0.00001974026,0.0007543491,0.9973385,0.00003994026,0.0006189131,0.00000390432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212354,0.006599134,0.06665716,0.0003391442,0.000145168,0.00009552965,0.0001900117,0.0004370772,0.004301318],"genre_scores_gemma":[0.9408059,0.002661519,0.05094472,0.0001946227,0.00003933466,0.00007945668,0.0002757108,0.00004880054,0.004949945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009399013,"threshold_uncertainty_score":0.002294183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004174983833547637,"score_gpt":0.1935826553003212,"score_spread":0.1894076714667736,"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."}}