{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005197533,0.0006600854,0.0004704579,0.0004218953,0.0002669147,0.000523727,0.0003377301,0.0004891113,0.0006815526],"category_scores_gemma":[0.000421106,0.0003217465,0.000431188,0.0003198622,0.000410846,0.0002922247,0.0007863887,0.0009954927,0.0006224283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213186,"about_ca_system_score_gemma":0.0005116491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003999775,"about_ca_topic_score_gemma":0.0007455127,"domain_scores_codex":[0.9992468,0.0001069342,0.00007791943,0.0001324326,0.0003286211,0.0001073138],"domain_scores_gemma":[0.999653,0.00004989432,0.0001099486,0.0000595327,0.00007459507,0.00005298544],"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":[0.00002791183,0.00001795508,0.000105457,0.00006023892,0.000006035884,0.00005383169,0.0000208773,0.0001710689,0.9950948,0.000750184,0.00006165944,0.003630002],"study_design_scores_gemma":[0.000008011648,0.0001092334,0.000281046,0.000006676495,0.000008829091,0.0001920126,0.000009005085,0.001336133,0.9909096,0.00009967696,0.007026343,0.00001342752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5332979,0.001671495,0.4567407,0.0002195971,0.0002344501,0.0004690238,0.0007670361,0.001461812,0.005138008],"genre_scores_gemma":[0.7443594,0.001992374,0.2422137,0.000140508,0.00004405029,0.0004368924,0.001967001,0.0003016775,0.008544302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006815526,"threshold_uncertainty_score":0.002748728,"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."}}