{"id":"W2205690858","doi":"10.1149/2.0161604jes","title":"Review—Electrogenerated Chemiluminescence: Light Years Ahead","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electrochemiluminescence; Chemiluminescence; Nanotechnology; Bioanalysis; Instrumentation (computer programming); Computer science; Chemistry; Materials science; Electrode; Chromatography; Physical chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0004296827,0.0001348552,0.0002301025,0.000009445755,0.00004152812,0.00001182593,0.0003694294,0.0001541556,9.825626e-7],"category_scores_gemma":[0.0002735309,0.00008571536,0.0005190236,0.0002955543,0.00007428428,0.000004656542,0.00008119098,0.0002980999,7.837286e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007482829,"about_ca_system_score_gemma":0.0001769937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.514246e-7,"about_ca_topic_score_gemma":5.186049e-7,"domain_scores_codex":[0.9989763,0.00004930949,0.0003229062,0.0001560802,0.0002612044,0.0002341328],"domain_scores_gemma":[0.9989175,0.000005652073,0.0003063335,0.0002530294,0.0003972394,0.0001202444],"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":[0.00002679099,0.00003490776,0.00008079153,0.00001288922,0.0000788757,5.960486e-7,0.000008595272,1.070807e-7,0.8885802,0.000001461481,0.1109396,0.0002351599],"study_design_scores_gemma":[0.0002095816,0.000132692,0.00001089116,0.0001097285,0.0000823089,0.0001560021,0.00001103062,0.000007697616,0.9400592,0.00008653056,0.05902381,0.0001105368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89086,0.08957142,0.006320817,0.01205069,0.0003423375,0.0003747688,0.000004523924,0.00005628825,0.0004191768],"genre_scores_gemma":[0.9647755,0.01208434,0.01468665,0.006768403,0.001166206,0.000003267177,0.00001806693,0.00003189667,0.000465684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07748707,"threshold_uncertainty_score":0.3495371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951832648420961,"score_gpt":0.2691473444040514,"score_spread":0.2596290179198418,"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."}}