{"id":"W4402487262","doi":"10.3390/bioengineering11090912","title":"Optical Image Sensors for Smart Analytical Chemiluminescence Biosensors","year":2024,"lang":"en","type":"review","venue":"Bioengineering","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University; McGill University","keywords":"Biosensor; Computer science; Image sensor; Detector; Photodiode; Lab-on-a-chip; Nanotechnology; CMOS; Electrochemiluminescence; Chemiluminescence; Microfluidics; Materials science; Optoelectronics; Detection limit; Artificial intelligence; Telecommunications; Chemistry","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":[0.0008172588,0.001246931,0.0009106915,0.001110867,0.0003344667,0.001421733,0.001842731,0.002528299,0.003602581],"category_scores_gemma":[0.001316718,0.0006742323,0.0006727644,0.001197823,0.0008079631,0.001922611,0.0009957735,0.002791999,0.003348544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051885,"about_ca_system_score_gemma":0.0004591188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003992546,"about_ca_topic_score_gemma":0.0004448733,"domain_scores_codex":[0.9986517,0.0001905873,0.00007791314,0.0002954716,0.0006915959,0.00009286784],"domain_scores_gemma":[0.9996088,0.0001237645,0.00006574464,0.00001979615,0.0001595254,0.00002234731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000111963,0.0001073213,0.0002727537,0.00693254,0.00007920034,0.0005730517,0.0001927014,0.001726112,0.6434849,0.07297774,0.03714461,0.2363971],"study_design_scores_gemma":[0.00002202086,0.0001591293,0.0003048476,0.0004389354,0.00004636473,0.001246303,0.00005708694,0.006793662,0.3971817,0.006922867,0.5867573,0.00006980498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01244383,0.4278775,0.4942878,0.0059569,0.006375329,0.0005688819,0.0007793993,0.002868016,0.04884244],"genre_scores_gemma":[0.1221001,0.3433138,0.4742628,0.009472453,0.002065283,0.001303534,0.00150096,0.0003466653,0.04563431],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003602581,"threshold_uncertainty_score":0.01205188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945296442581523,"score_gpt":0.2893236507938459,"score_spread":0.2598706863680306,"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."}}