{"id":"W2759801681","doi":"10.1142/s2529732517400090","title":"CRISPR System: From Adaptive Immunity to Genome Editing","year":2017,"lang":"en","type":"article","venue":"Molecular Frontiers Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; Connaught Fund","keywords":"CRISPR; Genome editing; Cas9; Computational biology; DNA; Genome; Biology; Acquired immune system; Function (biology); Förster resonance energy transfer; Computer science; Genetics; Gene; Antigen; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002717099,0.0002078257,0.0002187192,0.00006828575,0.0006059688,0.0002544165,0.0006790167,0.0001322357,0.00001088669],"category_scores_gemma":[0.0001265028,0.0002154995,0.000173892,0.0000297016,0.00005085717,0.000009335708,0.0002658397,0.000272971,0.00001518766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005764675,"about_ca_system_score_gemma":0.00005249019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007446032,"about_ca_topic_score_gemma":0.00001165177,"domain_scores_codex":[0.998809,0.00006503661,0.0002517304,0.0002862641,0.0002152802,0.0003726493],"domain_scores_gemma":[0.9986879,0.000002665564,0.0001678208,0.0007182662,0.0001317186,0.0002916111],"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":[0.0000884002,0.0000297775,0.00124216,0.00001009377,0.0002977452,0.0001752514,0.0001622292,0.002306845,0.986257,0.00002257839,0.005245389,0.004162503],"study_design_scores_gemma":[0.002329664,0.000941794,0.04074046,0.0002013188,0.0002637602,0.0004650372,0.003616229,0.001755196,0.8529773,0.0002509431,0.09515355,0.001304774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3639774,0.002342304,0.6310397,0.0001637148,0.001261721,0.0001036686,0.00002414489,0.00001173747,0.001075621],"genre_scores_gemma":[0.9677308,0.00005336749,0.03074441,0.0001416062,0.001108986,0.000008152856,0.0000232973,0.0000425369,0.0001468549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6037534,"threshold_uncertainty_score":0.8787816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007380483039579626,"score_gpt":0.2692351209038998,"score_spread":0.2618546378643202,"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."}}