{"id":"W2119253330","doi":"10.1128/aem.05261-11","title":"Bacterial Whole-Cell Biosensor for Glutamine with Applications for Quantifying and Visualizing Glutamine in Plants","year":2011,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Glutamine; Biosensor; Escherichia coli; Auxotrophy; Biochemistry; Biology; Reporter gene; Bacteria; Chromatography; Chemistry; Gene; Amino acid; Gene expression; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006901432,0.0001368664,0.0001486716,0.00003628269,0.00005839997,0.000005769789,0.00004405993,0.0001194873,0.000002073938],"category_scores_gemma":[0.000001570283,0.0001245273,0.00001786411,0.00001790806,0.0001044419,0.000002655181,0.00003903477,0.00003598779,0.000001096388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006602833,"about_ca_system_score_gemma":0.000004052688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006718566,"about_ca_topic_score_gemma":0.00001149284,"domain_scores_codex":[0.9992918,0.000006995088,0.0001365475,0.0003614504,0.000009708525,0.0001934696],"domain_scores_gemma":[0.9998099,0.000005809768,0.00004732017,0.0001013542,0.000002376609,0.00003322229],"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":[0.0002571439,0.00007448786,0.0003991998,0.00004344895,0.00001640993,1.398546e-7,0.00006414067,0.000002234403,0.9967052,0.00005108841,0.00001792085,0.002368609],"study_design_scores_gemma":[0.001713232,0.0003088074,0.001882319,0.000005968177,0.00002019451,0.00004741337,0.0001775135,0.000006373366,0.9548911,0.00001005981,0.04073131,0.0002057079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955058,0.0003830203,0.00313933,0.00001126091,0.00004680004,0.000639347,0.0002491148,0.000007364113,0.0000179436],"genre_scores_gemma":[0.9924207,0.0002121298,0.005883011,0.00004323317,0.000135948,0.0001766507,0.001051445,0.00002071699,0.00005611275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04181408,"threshold_uncertainty_score":0.5078074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287702926355066,"score_gpt":0.2021298899549883,"score_spread":0.1892528606914377,"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."}}