{"id":"W4293792660","doi":"10.3389/fgeed.2022.957289","title":"Bacterial genome reductions: Tools, applications, and challenges","year":2022,"lang":"en","type":"review","venue":"Frontiers in Genome Editing","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"In silico; Chassis; Synthetic biology; Computer science; Genome; Genome editing; Computational biology; Biochemical engineering; Bacterial genome size; Function (biology); Genome engineering; Biology; Engineering; Genetics; 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":[0.001401119,0.001229096,0.001556893,0.002412904,0.0004081081,0.001619546,0.001292526,0.001842716,0.002826594],"category_scores_gemma":[0.001415646,0.0006920716,0.0007840311,0.002013711,0.001007074,0.002144945,0.001046425,0.003365243,0.002639836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135965,"about_ca_system_score_gemma":0.00156357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706209,"about_ca_topic_score_gemma":0.001860107,"domain_scores_codex":[0.9993988,0.00009665491,0.00005869841,0.00009978539,0.0002735563,0.00007251051],"domain_scores_gemma":[0.9993659,0.0003304681,0.00006719926,0.00002996145,0.0001576305,0.00004893006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007448463,0.00008422718,0.000124275,0.02107987,0.00007522929,0.0003053172,0.0001123657,0.001224679,0.008423229,0.02778872,0.03444427,0.9062633],"study_design_scores_gemma":[0.000009309842,0.00008066011,0.0001994764,0.001695832,0.00003060631,0.0005853898,0.00004443214,0.0001157546,0.001951881,0.003655927,0.9916068,0.00002397293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001486166,0.9971032,0.0006862991,0.0004456142,0.0002400266,0.000007426135,0.00002758836,0.00001918541,0.00132223],"genre_scores_gemma":[0.0007946873,0.997221,0.0007531715,0.0002836703,0.0001125914,0.00001296986,0.00005646077,0.00000649137,0.0007590038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002826594,"threshold_uncertainty_score":0.009455919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201872707237976,"score_gpt":0.2983499599543317,"score_spread":0.2663312328819519,"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."}}