{"id":"W4210835791","doi":"10.1039/d1lc00905b","title":"SE-ECL on CMOS: a miniaturized electrochemiluminescence biosensor","year":2022,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Faculty of Engineering, McGill University","keywords":"Electrochemiluminescence; CMOS; Biosensor; Nanotechnology; Materials science; Optoelectronics; Computer science; Chemistry; Chromatography; Detection limit","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514895,0.0002145819,0.0001862263,0.00007758319,0.0002105452,0.00001666123,0.0002372699,0.00009287432,0.00001497615],"category_scores_gemma":[0.00008596267,0.0001906531,0.0001502154,0.0002544724,0.00005702135,0.000001391026,0.0001189749,0.0002396046,0.0000101421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878199,"about_ca_system_score_gemma":0.00003728284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000546937,"about_ca_topic_score_gemma":0.00000594374,"domain_scores_codex":[0.9986424,0.00009520598,0.0001781289,0.0005310985,0.0002461944,0.0003069178],"domain_scores_gemma":[0.9992589,0.00001897112,0.0001046046,0.0005069801,0.00004167202,0.00006884186],"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":[0.0004431579,0.0001745312,0.00005294094,0.000004833033,0.00003710123,0.00001207004,0.00001926126,0.000003931854,0.9934555,0.0001166891,0.004597016,0.001082915],"study_design_scores_gemma":[0.0004000485,0.0009564019,0.0001174011,0.000009664976,0.00001715171,0.00002414639,0.00004046567,0.00002129097,0.9079626,0.00006234673,0.09013972,0.0002487865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953307,0.0001087313,0.00002911537,0.0007977635,0.0000825615,0.0001720354,0.00005162348,0.0001044974,0.003323002],"genre_scores_gemma":[0.9909182,0.00006391866,0.001734874,0.003477697,0.000185736,0.00003633911,0.000195881,0.00002977226,0.003357616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08554271,"threshold_uncertainty_score":0.7774608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024340236920991,"score_gpt":0.2639968545462548,"score_spread":0.2537534521770449,"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."}}