{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001699292,0.0008323789,0.001519863,0.000435223,0.00004566518,0.0001743808,0.0002590335,0.0006570165,0.00002304472],"category_scores_gemma":[0.0001236281,0.0007007869,0.001073715,0.0007333787,0.00008553486,0.00008163753,0.00006460171,0.0007174045,0.0004237401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396585,"about_ca_system_score_gemma":0.00003235953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001318139,"about_ca_topic_score_gemma":4.531986e-7,"domain_scores_codex":[0.9976406,0.00001028337,0.0007639193,0.0006179392,0.0002229562,0.0007442884],"domain_scores_gemma":[0.9990341,0.0001640553,0.00003715826,0.000417316,0.00005065749,0.0002966932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008397289,0.00006368823,2.056136e-7,0.1938075,0.001771588,0.0002464674,0.00002570186,0.0008816842,0.001225876,0.00276965,0.01511536,0.7840839],"study_design_scores_gemma":[0.00007343672,0.00002860612,2.291239e-7,0.004713466,0.001508461,0.00009166958,0.000005107096,0.1638846,0.0003435243,0.0000110872,0.8285408,0.0007989692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002557002,0.9910785,0.004389455,0.00002722164,0.001476523,0.0006138721,0.0001574167,0.001477121,0.0007543387],"genre_scores_gemma":[0.0002059516,0.9945539,0.003076789,0.000004379222,0.0009954756,0.0001112411,0.00007405347,0.0003310069,0.0006471805],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8134254,"threshold_uncertainty_score":0.9995443,"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."}}