{"id":"W4385347505","doi":"10.1101/2023.07.27.550818","title":"Functional and Structural Characterization of an IclR Family Transcription Factor for the Development of Dicarboxylic Acid Biosensors","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Concordia University; PROTEO; University of Toronto","funders":"Fonds de recherche du Québec – Nature et technologies; Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Concordia University; Genome Canada","keywords":"Biology; Biosensor; Transcription factor; Computational biology; Genetics; Gene; Biochemistry","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":[0.0001897272,0.0002851368,0.0002177329,0.0001514694,0.00009262485,0.0002227699,0.000250478,0.0002322471,0.001393243],"category_scores_gemma":[0.0001970846,0.00008327697,0.0002746785,0.0002148625,0.0001228054,0.000111932,0.0001016872,0.0004427567,0.0006787581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940648,"about_ca_system_score_gemma":0.0001702647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050047,"about_ca_topic_score_gemma":0.001019033,"domain_scores_codex":[0.9998846,0.00001220985,0.000005939708,0.00002998486,0.00005259632,0.00001463056],"domain_scores_gemma":[0.9999074,0.00001509147,0.00002329853,0.0000121596,0.00002090988,0.00002122511],"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":[0.00003374264,0.000009280776,0.0001404745,0.00003027193,0.000002279851,0.00002205674,0.000006907155,0.0001581187,0.9977757,0.00009678162,0.0000696195,0.001654796],"study_design_scores_gemma":[0.000006376626,0.00006470861,0.001554353,0.000003805886,0.000006437361,0.0001020138,0.00001471996,0.002617021,0.9918813,0.00004375919,0.003700502,0.000005124085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9627005,0.001929018,0.02905305,0.0003293341,0.00007275358,0.00007002124,0.003070087,0.000284672,0.002490581],"genre_scores_gemma":[0.9598177,0.0008435105,0.02826608,0.00007705638,0.00001672896,0.000035962,0.006028421,0.00008105399,0.004833558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001393243,"threshold_uncertainty_score":0.004660785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03310549533273253,"score_gpt":0.249077373187217,"score_spread":0.2159718778544845,"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."}}