{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001293565,0.00008972703,0.00006754464,0.00006838444,0.0002179729,0.00001945501,0.0003661235,0.000269691,0.000002632582],"category_scores_gemma":[0.0003829654,0.00009898282,0.00005634222,0.0003081496,0.00001946577,0.000003483333,0.0001573641,0.0001777465,0.00001626013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001410557,"about_ca_system_score_gemma":0.00002061141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002770684,"about_ca_topic_score_gemma":0.0002033358,"domain_scores_codex":[0.9994761,0.00002944086,0.0001254535,0.0001695909,0.00005927683,0.0001400789],"domain_scores_gemma":[0.9988461,0.00003121048,0.00003745843,0.0008996063,0.0001477463,0.00003794293],"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":[0.000008345336,0.00001545517,0.0001247264,0.00000754332,0.00001491731,4.784633e-8,0.00004799849,0.0000589762,0.9950517,0.0001416426,0.001895269,0.002633316],"study_design_scores_gemma":[0.0002968454,0.00005530204,0.005955469,0.000004226054,0.0000170625,0.000002445911,0.00008297841,0.00328353,0.9239964,0.00005009545,0.06612735,0.0001282166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948446,0.002900957,0.04242312,0.002916894,0.0009505689,0.001099481,0.00008329764,0.0004118515,0.0007678114],"genre_scores_gemma":[0.995243,0.0002515904,0.003336111,0.0001205649,0.000129086,0.00008618117,0.0006733856,0.00003304588,0.000127072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07105529,"threshold_uncertainty_score":0.4036402,"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."}}