{"id":"W4416366282","doi":"10.1021/acssynbio.5c00537","title":"Effective Strategies for Translating CRISPR-dCas Systems to Diverse Microbes","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":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Troubleshooting; Function (biology); Metagenomics; Synthetic biology; Range (aeronautics)","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":[0.003039189,0.001438268,0.001297494,0.00171845,0.001000609,0.002733133,0.001518909,0.001591033,0.004783657],"category_scores_gemma":[0.003345313,0.001424311,0.001447024,0.001077313,0.00139701,0.00176042,0.002547129,0.004653612,0.004447886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327374,"about_ca_system_score_gemma":0.001404308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008312216,"about_ca_topic_score_gemma":0.001876087,"domain_scores_codex":[0.9978991,0.0004270167,0.0003478435,0.0004110047,0.0006675714,0.0002474444],"domain_scores_gemma":[0.9988649,0.0003441039,0.0002012587,0.0002479259,0.0002178444,0.0001241262],"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":[0.0001275938,0.0001306211,0.0003396296,0.001507713,0.0001070877,0.0005531891,0.0003434317,0.004220859,0.8877936,0.03116572,0.003435868,0.07027468],"study_design_scores_gemma":[0.00008265483,0.000666598,0.0005941762,0.0003372624,0.000148599,0.001173415,0.0002754291,0.007013483,0.8042414,0.01191022,0.1734152,0.0001415037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04002773,0.01022526,0.9233168,0.001998883,0.001353796,0.001435801,0.001026221,0.005806305,0.01480909],"genre_scores_gemma":[0.1467387,0.01832636,0.8180166,0.001310299,0.0002146342,0.001632557,0.002301478,0.001210871,0.01024854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004783657,"threshold_uncertainty_score":0.01607299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008197246238464065,"score_gpt":0.3326908026795897,"score_spread":0.3244935564411257,"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."}}