{"id":"W4401628928","doi":"10.1021/acssynbio.4c00437","title":"Advanced and Safe Synthetic Microbial Chassis with Orthogonal Translation System Integration","year":2024,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Synthetic biology; Chassis; Computational biology; Biology; CRISPR; Genetic code; Plasmid; Genome engineering; Genome editing; Computer science; Genetics; Gene; Engineering","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":[0.0001039331,0.0001438544,0.000144325,0.00004739147,0.0001070889,0.00004645271,0.00007539413,0.0001049006,0.0005529206],"category_scores_gemma":[0.000007019323,0.0001037052,0.00003763301,0.0001186165,0.0002344091,0.0001519045,0.00003293652,0.0001366022,0.0002297038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008736589,"about_ca_system_score_gemma":0.00001081722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103172,"about_ca_topic_score_gemma":0.0002798069,"domain_scores_codex":[0.9991587,0.00006514033,0.0001763487,0.0003677639,0.00004232449,0.0001897475],"domain_scores_gemma":[0.9996892,0.00008553777,0.00003860482,0.0001325559,0.000006571165,0.00004759132],"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":[0.00003770372,0.00001627077,0.00005741005,0.00001995982,0.00001668804,0.000004762414,0.0002293277,0.00001281464,0.7981163,0.0008430307,0.00003121752,0.2006145],"study_design_scores_gemma":[0.002747406,0.002941534,0.0366502,0.003414467,0.001038095,0.008118167,0.002809615,0.01475473,0.5120924,0.00116599,0.4111227,0.003144736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825169,0.0003016734,0.01111816,0.001217665,0.000474484,0.0002527346,0.00005346669,0.0001125087,0.003952376],"genre_scores_gemma":[0.9979902,0.00005146831,0.001569296,0.00005214211,0.00003678882,0.00002719087,0.00002632241,0.00001632371,0.0002302867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4110915,"threshold_uncertainty_score":0.6054092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007554649234867208,"score_gpt":0.2250291938178309,"score_spread":0.2174745445829637,"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."}}