{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003394687,0.0008664213,0.0005382167,0.0004174839,0.0001831209,0.0005699956,0.001494977,0.0009566133,0.001571933],"category_scores_gemma":[0.000366326,0.0003745526,0.0004463417,0.0003889755,0.0002756124,0.0005624013,0.0004958438,0.0007120126,0.001671325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190271,"about_ca_system_score_gemma":0.00035737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004266788,"about_ca_topic_score_gemma":0.0005219974,"domain_scores_codex":[0.9994006,0.00005291294,0.00003603824,0.0002052595,0.000254142,0.00005115856],"domain_scores_gemma":[0.9998735,0.00002939457,0.00002236863,0.0000101366,0.00005187809,0.00001269997],"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":[0.00004172647,0.00002132965,0.00008189506,0.00012199,0.00001117627,0.00007899375,0.00001865781,0.0001752787,0.987636,0.0003103687,0.0005715769,0.01093104],"study_design_scores_gemma":[0.00001889563,0.000190148,0.0003689704,0.00001135611,0.00002339693,0.0005078656,0.00001216002,0.003571835,0.9804612,0.00008897094,0.01472385,0.00002131014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1820259,0.01098522,0.7800565,0.00139078,0.001299663,0.0006275073,0.001672603,0.009747762,0.01219409],"genre_scores_gemma":[0.2981471,0.005463284,0.6731684,0.001316791,0.0002414926,0.000553622,0.001651661,0.0003556003,0.0191021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001571933,"threshold_uncertainty_score":0.00525862,"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."}}