{"id":"W3126994555","doi":"10.1021/acs.analchem.0c04594","title":"Real-Time Optogenetics System for Controlling Gene Expression Using a Model-Based Design","year":2021,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Optogenetics; Computer science; Control system; Software; Engineering; Neuroscience; Operating system; Biology","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":[0.0001538042,0.0001979778,0.0002439371,0.00001302884,0.00008064752,0.00003450522,0.0001335453,0.0002357969,0.00001403801],"category_scores_gemma":[0.0001151703,0.0002093527,0.0001859361,0.00007213535,0.00003403246,0.000001659365,0.00005836296,0.00006709944,0.000001706699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004037793,"about_ca_system_score_gemma":0.0002240033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001077159,"about_ca_topic_score_gemma":8.706069e-8,"domain_scores_codex":[0.9988076,0.0000209851,0.0002694947,0.0004411257,0.0001379804,0.0003228263],"domain_scores_gemma":[0.9991496,0.00004293357,0.00005151527,0.000409264,0.0001845314,0.0001622197],"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":[0.00005378313,0.00002166411,0.00001888331,0.00009905347,0.0000309196,0.000005934462,0.000002150995,0.3326776,0.6669721,0.000002601982,0.00009101102,0.00002431629],"study_design_scores_gemma":[0.0004374508,0.00001375722,9.321336e-7,0.00003001525,0.00006022459,0.00001067949,0.0000112357,0.4764257,0.5228075,0.000005676919,0.00006613589,0.0001306984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2333141,0.0003231624,0.7658572,0.00001660099,0.00002648873,0.0001080967,0.00002808161,0.00002440956,0.0003019319],"genre_scores_gemma":[0.8546215,0.00002114421,0.1443776,0.00002986983,0.0002716109,0.0000223992,0.0001536154,0.00004377161,0.0004584438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6214796,"threshold_uncertainty_score":0.8537154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968170394980245,"score_gpt":0.3036243986581333,"score_spread":0.2839426947083308,"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."}}