{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005367668,0.00110958,0.001395158,0.003145194,0.0002418258,0.001076641,0.001222703,0.001154277,0.002896999],"category_scores_gemma":[0.0004506247,0.0004357898,0.0007443952,0.00179871,0.0005772139,0.001000493,0.0006648891,0.001933511,0.003090186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000899911,"about_ca_system_score_gemma":0.0009384566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008085253,"about_ca_topic_score_gemma":0.001167167,"domain_scores_codex":[0.9996025,0.00005874185,0.00003114405,0.0000622303,0.0002075363,0.00003789253],"domain_scores_gemma":[0.9997842,0.00009409081,0.00003360528,0.00001278886,0.00005504245,0.00002026479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005630219,0.000102313,0.0001484469,0.01397662,0.0001357476,0.0003201134,0.00005931573,0.0006155676,0.02416326,0.0103883,0.02888088,0.9211531],"study_design_scores_gemma":[0.00001031005,0.00006673947,0.0003071398,0.0008460614,0.00005604067,0.0009849763,0.00001918204,0.0001287096,0.007507336,0.00145613,0.9885945,0.00002286365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005024615,0.9891931,0.003071002,0.0003949048,0.0004276279,0.00003456093,0.00008877797,0.0001132589,0.006174311],"genre_scores_gemma":[0.003528297,0.9875634,0.002864754,0.0003536335,0.0001458996,0.00005355725,0.0002086994,0.00001287005,0.005268996],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003145194,"threshold_uncertainty_score":0.009691417,"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."}}