{"id":"W3197785375","doi":"10.3390/biom11091276","title":"Design and Prototyping of Genetically Encoded Arsenic Biosensors Based on Transcriptional Regulator AfArsR","year":2021,"lang":"en","type":"article","venue":"Biomolecules","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Higher Education Commision, Pakistan; University of Alberta","keywords":"Biosensor; Förster resonance energy transfer; Green fluorescent protein; Chemistry; Nanotechnology; Computational biology; Biochemistry; Fluorescence; Biophysics; Biology; Gene; Materials science","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":[0.0006047984,0.0005874705,0.0006744746,0.0003521061,0.0002207604,0.0005441848,0.00113837,0.0009973134,0.0004881228],"category_scores_gemma":[0.000786382,0.0004876251,0.0006570998,0.0002737397,0.0003785096,0.0006208674,0.0004834079,0.000709189,0.0005487592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005502507,"about_ca_system_score_gemma":0.0002778987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006532946,"about_ca_topic_score_gemma":0.0005639629,"domain_scores_codex":[0.9994135,0.00008041838,0.00005565152,0.0001269945,0.0002488874,0.0000746006],"domain_scores_gemma":[0.9996634,0.00008612475,0.00007966993,0.00004611781,0.00006520491,0.00005950306],"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":[0.00002380458,0.0000293129,0.00008888807,0.00003475613,0.000004731851,0.00006477744,0.00003235151,0.0008683362,0.9969929,0.0002027577,0.00002116857,0.001636195],"study_design_scores_gemma":[0.00001458695,0.0001869619,0.0003860034,0.000005667468,0.000008691257,0.0001188785,0.00002559414,0.006007123,0.991529,0.00007160052,0.001626714,0.00001911662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676152,0.0008267041,0.1269839,0.0003434173,0.0001604829,0.000439476,0.0006185062,0.001420036,0.001592259],"genre_scores_gemma":[0.7639681,0.001123349,0.2303274,0.00008146741,0.00001945111,0.0004346273,0.0007177917,0.0001882246,0.003139715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00113837,"threshold_uncertainty_score":0.003992379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406740480162322,"score_gpt":0.2572567201424145,"score_spread":0.2431893153407912,"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."}}