{"id":"W2346982267","doi":"10.1128/mbio.00202-16","title":"Programming Native CRISPR Arrays for the Generation of Targeted Immunity","year":2016,"lang":"en","type":"article","venue":"mBio","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"CRISPR; Acquired immune system; Genome editing; Biology; Computational biology; Cas9; Plasmid; Immunity; Genome; Genetics; Gene; Immune system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115716,0.00005672485,0.00005115889,0.00001053952,0.00005199149,0.000005335463,0.00008462344,0.00004403566,0.000006020114],"category_scores_gemma":[0.00009386468,0.00003317123,0.00004967189,0.00002880613,0.00003429229,0.000001254645,0.00002513548,0.00001902505,6.341186e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004618198,"about_ca_system_score_gemma":0.00001506859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009854135,"about_ca_topic_score_gemma":0.00002169352,"domain_scores_codex":[0.999665,0.00001253252,0.00009019633,0.00009389975,0.00004078516,0.00009760444],"domain_scores_gemma":[0.9996927,0.00001994953,0.00003144637,0.0001653184,0.00007513795,0.00001539691],"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":[0.00001255539,0.00001192547,0.0000988035,0.000006461011,0.00002832092,3.375202e-8,0.00005654758,0.00005776898,0.969155,0.000056504,0.0005720537,0.02994402],"study_design_scores_gemma":[0.0002411973,0.0001126387,0.000751169,0.000004929705,0.0000102996,7.155223e-7,0.00005204448,0.0002334572,0.9722423,0.00002121143,0.02627327,0.0000567967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3027353,0.0009498324,0.6954857,0.0002399626,0.0001856203,0.000278964,0.00002240112,0.000007803175,0.00009439646],"genre_scores_gemma":[0.9964391,0.00005688914,0.003036367,0.00002347556,0.0001799141,0.00004727409,0.00002521034,0.00000845592,0.0001833397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6937038,"threshold_uncertainty_score":0.1352684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854020342594264,"score_gpt":0.3034265592294892,"score_spread":0.2848863558035465,"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."}}