{"id":"W3135156099","doi":"10.1039/d0sc06973f","title":"CRISPR technology incorporating amplification strategies: molecular assays for nucleic acids, proteins, and small molecules","year":2021,"lang":"en","type":"review","venue":"Chemical Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; China Scholarship Council","keywords":"CRISPR; Nucleic acid; Palindrome; Computational biology; Biology; Genome editing; Genome; Chemistry; Nanotechnology; Genetics; Gene; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003124304,0.0003129296,0.0005050842,0.0001113824,0.0001114269,0.0001435135,0.0005477257,0.0004240242,0.000001351133],"category_scores_gemma":[0.0005126472,0.0002915614,0.000139848,0.0005219649,0.0004456677,0.000006382885,0.0003620614,0.0002003058,0.000001444247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003910083,"about_ca_system_score_gemma":0.0004918186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001787419,"about_ca_topic_score_gemma":0.000001043855,"domain_scores_codex":[0.9981958,0.00002050826,0.0003512246,0.0009045692,0.000150431,0.0003774427],"domain_scores_gemma":[0.9990098,0.0000218888,0.0001640012,0.0005074686,0.0001680255,0.0001287393],"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":[0.000001649367,0.00002218826,0.000001305703,0.001885438,0.00002106581,0.000003143617,0.000006859793,0.00001073837,0.7896987,0.002043162,0.00003073419,0.2062751],"study_design_scores_gemma":[0.0001833817,0.0001323752,6.836614e-7,0.001642124,0.0001534673,0.00009565908,0.0001234231,0.0001944878,0.5901271,0.0008138675,0.4057961,0.0007373182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001136873,0.8410881,0.1568023,0.00004684286,0.00005878383,0.0006859107,0.00002030841,0.00003124503,0.000129675],"genre_scores_gemma":[0.009125595,0.9003945,0.08908416,0.0000429157,0.0001946711,0.0006888582,0.0003566982,0.00008303006,0.00002957034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4057654,"threshold_uncertainty_score":0.9999536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137540916769379,"score_gpt":0.3416980224268022,"score_spread":0.3203226132591084,"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."}}