{"id":"W4224141039","doi":"10.1002/celc.202200162","title":"Single‐Entity Electrochemical Detection of As‐Prepared Metallic and Dielectric Nanoparticle Stochastic Impacts in a Phosphonium Ionic Liquid","year":2022,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ionic liquid; Dispersity; Phosphonium; Catalysis; Electrochemistry; Nanoparticle; Materials science; Tetrahydrofuran; Phase (matter); Chemical engineering; Nanotechnology; Solvent; Physical chemistry; Chemistry; Organic chemistry; Polymer chemistry; Electrode","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000225373,0.0003122799,0.0005115741,0.0001665201,0.0002241055,0.00003419143,0.0003802688,0.0001262595,0.000354661],"category_scores_gemma":[0.0001899452,0.0003479563,0.0001960981,0.001551836,0.00009550562,0.0001031489,0.0002209793,0.0007132497,0.000007021158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005976694,"about_ca_system_score_gemma":0.0001529448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009368527,"about_ca_topic_score_gemma":0.00006658664,"domain_scores_codex":[0.99741,0.00003441088,0.0006089951,0.0006834961,0.0004867656,0.000776354],"domain_scores_gemma":[0.9988892,0.0001359699,0.0002818249,0.0004274201,0.00007754916,0.0001880506],"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":[0.00045263,0.0006394388,0.00003264417,0.00006036381,0.00009539456,0.000001915237,0.0001776291,0.00001028967,0.9979111,0.0002068435,0.00001116223,0.0004006211],"study_design_scores_gemma":[0.0007755597,0.0004220705,0.00001851791,0.00001359798,0.00012789,0.00006062954,0.0001059093,0.001810729,0.994948,0.001194908,0.0001893884,0.0003327696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961817,0.002627974,0.0002165418,0.0001356522,0.00001011518,0.0001594011,0.000004694572,0.0000995346,0.0005644003],"genre_scores_gemma":[0.9991249,0.00008069575,0.00005182622,0.00007388987,0.0000468034,0.0003712369,0.00005928762,0.00004237319,0.0001490254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002963038,"threshold_uncertainty_score":0.9998972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005996340272583432,"score_gpt":0.2163143037019541,"score_spread":0.2103179634293707,"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."}}