{"id":"W2401593194","doi":"10.1007/978-1-62703-755-6_5","title":"Artificial Riboswitch Selection: A FACS-Based Approach","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Riboswitch; Computational biology; Selection (genetic algorithm); Sorting; Computer science; sort; Synthetic biology; Sorting algorithm; Artificial intelligence; Biology; RNA; Information retrieval; Genetics; Non-coding RNA; Algorithm; Gene","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":[0.0004204243,0.0005401367,0.0003716534,0.0004564021,0.0004097274,0.0009086784,0.0006653199,0.0004523068,0.00299219],"category_scores_gemma":[0.0002720288,0.0003108001,0.0002618785,0.0003327029,0.0003346019,0.000377012,0.000432175,0.001093614,0.002184511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889656,"about_ca_system_score_gemma":0.0004502267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003769842,"about_ca_topic_score_gemma":0.001206523,"domain_scores_codex":[0.9995782,0.00005430223,0.00002764722,0.00008501847,0.0002167289,0.00003805689],"domain_scores_gemma":[0.9997826,0.00006806049,0.0000241243,0.0000236216,0.00007866399,0.0000229277],"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":[0.00004526166,0.00002563122,0.00009262006,0.00005851103,0.000006087855,0.00001460336,0.00001599387,0.0001944918,0.9899758,0.0007343818,0.0003657569,0.008470812],"study_design_scores_gemma":[0.00001180581,0.00005734081,0.0002606057,0.00001085145,0.00001084009,0.0001044856,0.0000139599,0.00373597,0.9808319,0.0003718022,0.01457393,0.00001655204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2780337,0.004210496,0.6797383,0.001019067,0.000522215,0.001577219,0.002738148,0.005032746,0.02712814],"genre_scores_gemma":[0.4021498,0.007066849,0.5549239,0.001200139,0.0001172598,0.0016072,0.004510386,0.0007270923,0.02769736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00299219,"threshold_uncertainty_score":0.01000983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382600744602811,"score_gpt":0.3522945292516512,"score_spread":0.3284685218056231,"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."}}