{"id":"W4391814173","doi":"10.1039/d3cc05626k","title":"Visual monitoring of biocatalytic processes using small molecular fluorescent probes: strategies-mechanisms-applications","year":2024,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Basic Research Program of Shaanxi Province; Key Research and Development Projects of Shaanxi Province; Henan Normal University; Xi'an Municipal Bureau of Science and Technology; China Postdoctoral Science Foundation; University of Bath; National Natural Science Foundation of China","keywords":"Fluorescence; Chemistry; Biological system; Nanotechnology; Biochemical engineering; Combinatorial chemistry; Computer science; Materials science; Biology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007072142,0.0009075544,0.0003563316,0.0005181876,0.0001840631,0.0008442067,0.0008499921,0.001109062,0.001074395],"category_scores_gemma":[0.0004552994,0.0003310721,0.0004266424,0.0003432252,0.0005801722,0.001014271,0.000299449,0.0008234528,0.0004425892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009381084,"about_ca_system_score_gemma":0.0003701026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004377004,"about_ca_topic_score_gemma":0.0006375135,"domain_scores_codex":[0.9997625,0.00005007789,0.00001504978,0.00005947713,0.00007269756,0.00004022782],"domain_scores_gemma":[0.9997671,0.00009895168,0.00004938489,0.00001935595,0.00004323654,0.00002191924],"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":[0.00006541842,0.00006496643,0.0002118937,0.0004544357,0.0000127616,0.00008926226,0.00004411316,0.000216695,0.9782828,0.002430897,0.0002207386,0.01790608],"study_design_scores_gemma":[0.000004572392,0.00008546293,0.0001829446,0.00001010719,0.00001039116,0.0001809524,0.00001314746,0.0009948239,0.9947391,0.0002976941,0.003473861,0.000006811194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3958239,0.09824722,0.4832966,0.003222214,0.0003700585,0.00102077,0.0005527618,0.002036102,0.01543036],"genre_scores_gemma":[0.84782,0.02988951,0.1115888,0.0006320107,0.00009241475,0.0005994527,0.0002788523,0.00005785341,0.009041113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001109062,"threshold_uncertainty_score":0.006806433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370083036709761,"score_gpt":0.2791555652844542,"score_spread":0.2554547349173566,"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."}}