{"id":"W4399665209","doi":"10.1021/acssynbio.3c00736","title":"Design and Characterization of a Generalist Biosensor for Indole Derivatives","year":2024,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Ontario; Genome Canada","keywords":"Generalist and specialist species; Indole test; Biosensor; Characterization (materials science); Computational biology; Chemistry; Combinatorial chemistry; Biochemistry; Biochemical engineering; Biology; Nanotechnology; Ecology; Engineering; 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":[0.0003363996,0.0003667698,0.0004116262,0.0002097667,0.0001858745,0.0004118067,0.0007428426,0.0006044423,0.0005756928],"category_scores_gemma":[0.0003890722,0.0001792464,0.0002312852,0.0002426045,0.0002276117,0.0001937105,0.0002134213,0.0004982504,0.000474747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007038511,"about_ca_system_score_gemma":0.0004522712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156804,"about_ca_topic_score_gemma":0.002445316,"domain_scores_codex":[0.9995436,0.00003675348,0.00002088565,0.0001032276,0.00023166,0.00006385284],"domain_scores_gemma":[0.9997875,0.00003930944,0.00004132619,0.00002500987,0.00007306819,0.00003374342],"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":[0.000009883566,0.00001019858,0.00007057564,0.000009858441,9.70865e-7,0.000009900405,0.000005315132,0.00007532891,0.999267,0.00002418477,0.00001338695,0.0005034559],"study_design_scores_gemma":[0.000002109491,0.00004605278,0.00024287,6.957842e-7,0.000001627682,0.0000185453,0.000006607836,0.001298842,0.9978883,0.00000577446,0.0004856343,0.000002869868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000491,0.0005163609,0.09543676,0.000313869,0.00004830377,0.0002882129,0.0007476537,0.0007156902,0.001884111],"genre_scores_gemma":[0.916911,0.0004515324,0.07704882,0.00009999734,0.00001336937,0.0002093564,0.0008685315,0.00009032,0.004307133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002156804,"threshold_uncertainty_score":0.005106866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048214522096301,"score_gpt":0.2573655806339932,"score_spread":0.2368834354130302,"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."}}