{"id":"W4410855665","doi":"10.1021/acs.analchem.4c06603","title":"A Paper Strip-Based Photoinduced Electrogenerated Chemiluminescence Platform with CTF/PMo12 Heterojunction-Sensitive Glutamic Acid Detection","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto; Iran University of Science and Technology; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Chemistry; Chemiluminescence; Heterojunction; Glutamic acid; Photochemistry; Nanotechnology; Optoelectronics; Physical chemistry; Amino acid; Biochemistry","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":[0.0003002059,0.0006030865,0.0002748435,0.0003858715,0.0001359706,0.0003568909,0.0009925531,0.001042587,0.001044852],"category_scores_gemma":[0.0003532407,0.0004164985,0.0002732265,0.0002636844,0.000247964,0.0004464368,0.0003005831,0.000454523,0.0004831601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663265,"about_ca_system_score_gemma":0.0001400235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000261911,"about_ca_topic_score_gemma":0.0003905579,"domain_scores_codex":[0.9996939,0.00002959443,0.00002062174,0.0001029095,0.000120358,0.00003270046],"domain_scores_gemma":[0.9997476,0.00005632312,0.00008124835,0.00002950472,0.000058371,0.00002693968],"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":[0.00002162772,0.00001593169,0.00009591519,0.00003956189,0.000004389088,0.00006338072,0.00001281842,0.00005113487,0.997486,0.00003953439,0.0000775185,0.002092138],"study_design_scores_gemma":[0.000007742461,0.0002035408,0.001031932,0.000004210764,0.000009617196,0.0002911645,0.00001118488,0.001994117,0.9951959,0.0000168248,0.001222047,0.00001174302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040301,0.001499299,0.08899375,0.0003329693,0.0002329211,0.0002436599,0.0005253415,0.001715929,0.002426069],"genre_scores_gemma":[0.9031302,0.0009071012,0.08927335,0.0002586542,0.00005591779,0.0002479508,0.0004340818,0.00006574666,0.005627068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001044852,"threshold_uncertainty_score":0.003495336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004382197322067021,"score_gpt":0.1870100165637424,"score_spread":0.1826278192416754,"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."}}