{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053346,0.0004286873,0.0002441723,0.0001814688,0.0001996524,0.0005118106,0.0004175318,0.0003449094,0.001162807],"category_scores_gemma":[0.0001770368,0.0002373296,0.000207915,0.0001882504,0.0002126022,0.0001809354,0.0005282009,0.0006720409,0.0004261762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401187,"about_ca_system_score_gemma":0.0002904606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377849,"about_ca_topic_score_gemma":0.001589984,"domain_scores_codex":[0.9997815,0.00001976339,0.00002013359,0.00006256865,0.00008805841,0.00002794958],"domain_scores_gemma":[0.9998891,0.00001668794,0.00003302293,0.0000190501,0.000014376,0.00002763578],"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":[0.00002108852,0.000008821201,0.00009718848,0.00002662367,0.000003931601,0.00005440908,0.0000112862,0.0002437293,0.9971116,0.0002031149,0.0001537401,0.002064491],"study_design_scores_gemma":[0.00001023878,0.00005325084,0.0008199397,0.000005329913,0.000006773701,0.0001556319,0.00001530547,0.003791916,0.9902339,0.00005698736,0.004840072,0.00001063527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675183,0.0007973586,0.1169779,0.0003710916,0.0001494057,0.0002902494,0.003194565,0.002712943,0.007988184],"genre_scores_gemma":[0.9256009,0.0005036751,0.06535529,0.0001096007,0.000009099354,0.00016262,0.001986503,0.0003383333,0.00593407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001377849,"threshold_uncertainty_score":0.003889918,"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."}}