{"id":"W4327744893","doi":"10.1038/s41467-023-36874-6","title":"CRISPR-induced DNA reorganization for multiplexed nucleic acid detection","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Toronto","funders":"CIHR Skin Research Training Centre; Canadian Institutes of Health Research; University of Toronto; Canada Research Chairs; Government of Canada; Natural Sciences and Engineering Research Council of Canada; Bill and Melinda Gates Foundation","keywords":"CRISPR; Nucleic acid; Computational biology; RNA; Biology; DNA; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004938801,0.0005065987,0.0004100812,0.0005119828,0.0002594559,0.0007177393,0.0006350778,0.0007418158,0.002180083],"category_scores_gemma":[0.0005238511,0.0003994529,0.0003193439,0.0002715308,0.0004671149,0.0003485255,0.0006354428,0.0008544641,0.001057907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006278211,"about_ca_system_score_gemma":0.0002661354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003067933,"about_ca_topic_score_gemma":0.0007619855,"domain_scores_codex":[0.999188,0.0001148635,0.00004539561,0.0002927347,0.0002621061,0.00009690908],"domain_scores_gemma":[0.9996715,0.0001041764,0.00008377848,0.00006238458,0.00002985969,0.00004829569],"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":[0.0000324734,0.00001867139,0.00008154466,0.00004431988,0.000007043523,0.00005929469,0.0000226309,0.0004169466,0.9918692,0.0009807158,0.0002795357,0.006187576],"study_design_scores_gemma":[0.000005414966,0.00005960262,0.0001962288,0.000004203976,0.000003754588,0.0001456989,0.000007443669,0.00391879,0.9903659,0.0001649628,0.005113966,0.00001391008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3218435,0.002568827,0.6515534,0.0006728307,0.0003829041,0.0006123132,0.001689946,0.007561712,0.01311458],"genre_scores_gemma":[0.748998,0.001115827,0.2375966,0.0003200235,0.0000388396,0.0004782782,0.0008331912,0.0002033336,0.01041582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002180083,"threshold_uncertainty_score":0.007293046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624350664559073,"score_gpt":0.3364430655808646,"score_spread":0.3201995589352739,"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."}}