{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003501008,0.000420097,0.0003373615,0.0001508053,0.0002458667,0.0006287346,0.0006197205,0.0004112606,0.001327181],"category_scores_gemma":[0.0003916197,0.0002644332,0.0003840331,0.0001181355,0.0004976877,0.00046283,0.000285408,0.0006436289,0.0004412718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006637499,"about_ca_system_score_gemma":0.0007152925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007938028,"about_ca_topic_score_gemma":0.001073962,"domain_scores_codex":[0.99978,0.00003192783,0.00001112436,0.00006209313,0.0001011734,0.00001369261],"domain_scores_gemma":[0.9998676,0.00003484025,0.00002918785,0.00002677551,0.00002928471,0.00001231471],"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":[0.00009749865,0.00009819094,0.000434754,0.0002030315,0.00003139939,0.00006034807,0.00006892058,0.05222795,0.9061895,0.01682652,0.0006411475,0.02312066],"study_design_scores_gemma":[0.00006106793,0.0006007986,0.000614055,0.00002558856,0.0000546212,0.0001336013,0.0000192106,0.4434201,0.5269307,0.003237378,0.02485258,0.00005032766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03957841,0.0002080524,0.9548337,0.0002325563,0.0000937645,0.0001580238,0.0001192074,0.001313646,0.00346257],"genre_scores_gemma":[0.4865695,0.0005159327,0.5063378,0.0001734661,0.00002451022,0.0006394663,0.0001800814,0.0001272332,0.005431988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001327181,"threshold_uncertainty_score":0.004815817,"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."}}