{"id":"W4415758224","doi":"10.1021/acssynbio.5c00843","title":"PHYCUT: Scalable Multiplex CRISPR/Cas9 Editing for Genome Engineering in the Diatom <i>Phaeodactylum tricornutum</i>","year":2025,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Synthetic biology; Genome engineering; Bioproduction; Genome editing; Glycosylation; Genome; Multiplex; Mycoplasma genitalium; Metabolic 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":[0.0004654167,0.0002318483,0.0002513486,0.0001244305,0.00008911515,0.00002573182,0.0004300355,0.000257223,0.000006873032],"category_scores_gemma":[0.0004353329,0.0001916525,0.0001060387,0.0002227575,0.00006727139,0.000003477625,0.0001279977,0.0001676284,0.00000456128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002138627,"about_ca_system_score_gemma":0.00004256963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057056,"about_ca_topic_score_gemma":0.00002968247,"domain_scores_codex":[0.9985949,0.00006093556,0.0003210339,0.00044763,0.00005643603,0.0005190114],"domain_scores_gemma":[0.9992122,0.0001971145,0.00005322808,0.0004450909,0.00005024504,0.00004211976],"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":[0.00005415261,0.00008938096,0.002324464,0.0001077593,0.00007592457,0.00000305515,0.0001546547,0.00229987,0.9874079,0.0007586281,0.00100207,0.005722122],"study_design_scores_gemma":[0.003372049,0.0006039412,0.008520876,0.00009473979,0.0001191357,0.00006024218,0.0004440838,0.007944794,0.5664247,0.000637006,0.4109373,0.0008411273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485181,0.004403517,0.1429408,0.001088109,0.0009053596,0.0009617681,0.00006622652,0.00005292504,0.001063114],"genre_scores_gemma":[0.9972126,0.0001393968,0.001206756,0.0004855764,0.0003944592,0.0002522337,0.00009012986,0.00002671554,0.0001920651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4209833,"threshold_uncertainty_score":0.7815362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007109945902991799,"score_gpt":0.2964904054958357,"score_spread":0.2893804595928439,"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."}}