{"id":"W3112756000","doi":"10.1111/febs.15621","title":"CRISPR: development of a technology and its applications","year":2020,"lang":"en","type":"editorial","venue":"FEBS Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"CRISPR; Biology; Palindrome; Genome editing; Computational biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003682361,0.001513165,0.0009723841,0.001624371,0.001121562,0.003774707,0.001528624,0.004996865,0.008885042],"category_scores_gemma":[0.008116827,0.0005419031,0.0009950162,0.0006410512,0.001345453,0.002409779,0.001170198,0.009306592,0.007531499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505738,"about_ca_system_score_gemma":0.001856993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004662792,"about_ca_topic_score_gemma":0.001070297,"domain_scores_codex":[0.9980045,0.0002923922,0.0002070459,0.0002339061,0.001151373,0.000110831],"domain_scores_gemma":[0.9940053,0.001737297,0.0003471024,0.0001612803,0.002452415,0.001296738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003150319,0.00001025563,0.00002106718,0.0002895118,0.00001009228,0.00009885168,0.00001567633,0.00003399038,0.000350088,0.0009897285,0.9724149,0.02573431],"study_design_scores_gemma":[0.00001029972,0.00001701683,0.00005022647,0.0001078956,0.000007601222,0.0001294252,0.00001004633,0.00003489147,0.000157476,0.0007639664,0.9987053,0.00000588806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008449468,0.02549126,0.000764669,0.03402724,0.9351408,0.00002970844,0.00006627878,0.0001338573,0.004261627],"genre_scores_gemma":[0.001198911,0.04579141,0.0008462435,0.03427206,0.8773476,0.00005222111,0.0001376562,0.000132083,0.04022177],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.008885042,"threshold_uncertainty_score":0.02972347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005539778900512906,"score_gpt":0.2917781842164314,"score_spread":0.2862384053159185,"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."}}