{"id":"W2090946534","doi":"10.1038/nbt.2872","title":"Cas9 in close-up","year":2014,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Endonuclease; Cas9; Computational biology; CRISPR; Biology; DNA; Genetics; Gene","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":[0.0001125824,0.0001089537,0.0001086434,0.0001025747,0.00001793143,0.000004723409,0.000198423,0.001222315,0.000008360898],"category_scores_gemma":[0.000163724,0.0001069254,0.00003684842,0.0001345697,0.00005010549,7.761447e-7,0.00009329915,0.0004173152,0.00001307556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007894506,"about_ca_system_score_gemma":0.00001248126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006672641,"about_ca_topic_score_gemma":0.00009960389,"domain_scores_codex":[0.9993114,0.00001513615,0.0001089293,0.0002914867,0.00005196585,0.0002210887],"domain_scores_gemma":[0.9995622,0.000006672045,0.00002042514,0.0003668385,0.00001631418,0.00002753968],"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":[0.00001886333,0.00001798315,0.001118027,0.00001080143,0.00001032767,0.00000355585,0.000008836976,0.00003076708,0.9633085,0.01252863,0.001923225,0.02102055],"study_design_scores_gemma":[0.0003162353,0.000102216,0.001686192,0.00000469829,0.000002608141,0.00002413138,0.00001183738,0.00007146393,0.6432921,0.0004393349,0.3539265,0.0001227321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869913,0.002924299,0.005799396,0.001485246,0.0006875899,0.0001143083,0.000004088454,0.00006982661,0.001923955],"genre_scores_gemma":[0.99777,0.0001477933,0.00107605,0.0003104861,0.0001556839,0.000007455627,0.00001858379,0.00001545497,0.0004984838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3520033,"threshold_uncertainty_score":0.9427615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002174745580167029,"score_gpt":0.2695959994285976,"score_spread":0.2674212538484306,"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."}}