{"id":"W4282826416","doi":"10.1002/celc.202200578","title":"Front Cover: Single‐Entity Electrochemical Detection of As‐Prepared Metallic and Dielectric Nanoparticle Stochastic Impacts in a Phosphonium Ionic Liquid (ChemElectroChem 13/2022)","year":2022,"lang":"en","type":"paratext","venue":"ChemElectroChem","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Front cover; Ionic liquid; Ultramicroelectrode; Phosphonium; Materials science; Electrochemistry; Nanoparticle; Front (military); Metal; Nanotechnology; Cover (algebra); Chemical engineering; Electrode; Chemistry; Polymer chemistry; Cyclic voltammetry; Oceanography; Engineering; Organic chemistry; Geology; Physical chemistry; Catalysis","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0004168436,0.001460699,0.002337201,0.0005741791,0.0003839091,0.0001415969,0.001193689,0.001135248,0.009847163],"category_scores_gemma":[0.0004730778,0.001643746,0.0008413923,0.002459709,0.000291856,0.0002418497,0.0005567401,0.003222155,0.000521899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563352,"about_ca_system_score_gemma":0.0009392229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003625063,"about_ca_topic_score_gemma":0.0002367379,"domain_scores_codex":[0.9919677,0.0001067408,0.001954538,0.002369685,0.00128989,0.002311425],"domain_scores_gemma":[0.9959604,0.0004169392,0.001374624,0.001384531,0.0002993263,0.0005641404],"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":[0.001355509,0.001309014,0.000005308164,0.0006467794,0.0007032886,0.000005900446,0.0002271033,0.00001895783,0.9936318,0.00003856179,0.001692059,0.0003657573],"study_design_scores_gemma":[0.001664867,0.0009301196,0.000003012783,0.0001571606,0.0007249451,0.00009614108,0.00008002084,0.001136779,0.9880006,0.0003750458,0.00539002,0.001441292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596173,0.02948166,0.0005449104,0.0001287708,0.00009627664,0.0006783932,0.00007581441,0.0001880322,0.009188907],"genre_scores_gemma":[0.9822286,0.003181001,0.00006687726,0.0001389383,0.0003360419,0.001214594,0.001513703,0.0002562645,0.01106392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02630066,"threshold_uncertainty_score":0.9998143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005968369031429766,"score_gpt":0.2252993012610669,"score_spread":0.2193309322296371,"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."}}