{"id":"W4415320647","doi":"10.1016/j.jelechem.2025.119564","title":"Miniaturized IoT-enabled MoS2-based electrochemical sensor for real-time adenine monitoring","year":2025,"lang":"en","type":"article","venue":"Journal of Electroanalytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"UGC-DAE Consortium for Scientific Research, University Grants Commission; University Grants Commission","keywords":"Molybdenum disulfide; Detection limit; Electrode; Electrochemical gas sensor; Electrochemistry; Raman spectroscopy; Molybdenum; Linear range","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003871843,0.000298204,0.0005781635,0.00009813268,0.00008945949,0.00004241686,0.0003311393,0.0003959605,0.000008049811],"category_scores_gemma":[0.0007963025,0.0002557866,0.0006051796,0.0003152575,0.0001061752,0.00000479444,0.00004386467,0.0003721086,5.909199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117053,"about_ca_system_score_gemma":0.0003736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.730896e-7,"about_ca_topic_score_gemma":1.925395e-7,"domain_scores_codex":[0.9981003,0.00003938625,0.0007004961,0.00038505,0.0002653394,0.0005094204],"domain_scores_gemma":[0.998399,0.000131131,0.0003584277,0.0003446523,0.0005954788,0.0001713515],"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":[0.0012555,0.0001433183,0.0001425439,0.00006582316,0.0004292416,0.000009511082,9.813222e-7,0.000009358252,0.9955476,0.000006089945,0.0021718,0.00021822],"study_design_scores_gemma":[0.001268336,0.0003054691,0.00003450545,0.00008582379,0.0004948931,0.00005170943,0.00000944121,0.0006037315,0.9933453,0.0002083386,0.003344064,0.0002484409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832098,0.0006707299,0.01295325,0.001430343,0.00006363658,0.0002079144,0.00001177763,0.00005579604,0.001396688],"genre_scores_gemma":[0.9498186,0.0001504452,0.04507193,0.0001472102,0.000872028,0.000008441003,0.00004790347,0.00003438938,0.003849053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03339127,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005204732870545447,"score_gpt":0.2803966134728801,"score_spread":0.2751918806023347,"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."}}