{"id":"W4381889474","doi":"10.1101/2023.06.23.546257","title":"Type IV-A3 CRISPR-Cas systems drive inter-plasmid conflicts by acquiring spacers <i>in trans</i>","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Novo Nordisk Fonden; Lietuvos Mokslo Taryba; Novo Nordisk; H. Lundbeck A/S; Lundbeckfonden; Eidgenössische Technische Hochschule Zürich; Oxford Nanopore Technologies; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Regional Development Fund; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Plasmid; CRISPR; Biology; Horizontal gene transfer; Genetics; Trans-activating crRNA; Gene; Ribonucleoprotein; Cas9; Computational biology; RNA; Genome","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001985543,0.0004382133,0.0002452072,0.0002366071,0.0002410741,0.0006761376,0.0003149495,0.000436272,0.003164266],"category_scores_gemma":[0.0003169263,0.0001905116,0.0003589918,0.0001957187,0.0003866384,0.0002425668,0.0005542009,0.0006917284,0.001613024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374443,"about_ca_system_score_gemma":0.0004044273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008251989,"about_ca_topic_score_gemma":0.0007284234,"domain_scores_codex":[0.99976,0.00003601996,0.00002061673,0.00005306191,0.00008080249,0.00004952824],"domain_scores_gemma":[0.9998142,0.00003665588,0.00005190584,0.0000494547,0.00001977338,0.00002805496],"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":[0.00005115436,0.00001920514,0.0005580029,0.00003596743,0.000008432619,0.00008922558,0.00001580375,0.0003383916,0.9948768,0.001157597,0.0004007182,0.002448764],"study_design_scores_gemma":[0.000009931234,0.00005484363,0.001494532,0.000007454028,0.000008135593,0.000343934,0.00002357021,0.004887474,0.9851231,0.0005836646,0.00745269,0.00001059633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8482885,0.0008301521,0.1281037,0.0004325402,0.0003452763,0.0001358304,0.001943868,0.002839609,0.0170806],"genre_scores_gemma":[0.9639335,0.0002495507,0.02490851,0.0001166428,0.00002034769,0.00003652661,0.001094004,0.0003186067,0.009322416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003164266,"threshold_uncertainty_score":0.01058549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247143780014135,"score_gpt":0.2577946045297405,"score_spread":0.2453231667295991,"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."}}