{"id":"W3152658238","doi":"10.1039/d1cc01010g","title":"Wireless electrochemiluminescence at functionalised gold microparticles using 3D titanium electrode arrays","year":2021,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"European Regional Development Fund; Centre of Excellence for Electromaterials Science, Australian Research Council; Australian National Fabrication Facility; Water Research Commission; Agence Nationale de la Recherche; Environmental Protection Agency; Science Foundation Ireland","keywords":"Electrochemiluminescence; Electrode; Titanium; Materials science; Nanotechnology; Wireless; Titanium dioxide; Colloidal gold; Optoelectronics; Chemistry; Nanoparticle; Computer science; Composite material; Telecommunications; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613291,0.0004782339,0.0003631254,0.0003336968,0.0001382608,0.0007809209,0.0008070666,0.001048534,0.0006896563],"category_scores_gemma":[0.0003136795,0.000420655,0.0004530013,0.0002733972,0.0003404475,0.0004017149,0.0004376201,0.0005217917,0.0007695342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009013467,"about_ca_system_score_gemma":0.0001818077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005666604,"about_ca_topic_score_gemma":0.0008686119,"domain_scores_codex":[0.9996588,0.00003185232,0.00002345688,0.0001095615,0.0001207017,0.00005560617],"domain_scores_gemma":[0.9998178,0.00006103409,0.00004985436,0.00001976335,0.00003196707,0.00001969341],"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":[0.00001330918,0.000007733979,0.00002494203,0.0000233808,0.000003403868,0.00003694914,0.000011686,0.0003382438,0.9981849,0.00008033791,0.00005353731,0.00122151],"study_design_scores_gemma":[0.000006608129,0.00004339009,0.0002120012,0.00000182197,0.000005468836,0.0000553945,0.000006824535,0.003377651,0.9953407,0.00002814561,0.0009128394,0.000009065595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8852693,0.002404412,0.1046504,0.0004829699,0.0002222241,0.0001183792,0.0006512452,0.001470256,0.00473081],"genre_scores_gemma":[0.9196457,0.001281274,0.07162981,0.0002747909,0.00004947762,0.0001253385,0.0004184073,0.0001100389,0.006465099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001048534,"threshold_uncertainty_score":0.006539702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204702095081001,"score_gpt":0.2850900844754787,"score_spread":0.2630430635246687,"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."}}