{"id":"W3174027460","doi":"10.1039/d1cc02546e","title":"CRISPR/Cas12a-mediated gold nanoparticle aggregation for colorimetric detection of SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"Chemical Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Precision Laboratories","keywords":"CRISPR; Colloidal gold; Nanoparticle; RNA; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cleavage (geology); Coronavirus disease 2019 (COVID-19); Chemistry; Nanotechnology; 2019-20 coronavirus outbreak; Combinatorial chemistry; Virology; Biology; Materials science; Biochemistry; Infectious disease (medical specialty); Gene; Medicine","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":[0.00008134338,0.00007197393,0.00009685601,0.0000307431,0.00004299126,0.000009012039,0.0002167238,0.00009796689,0.000001175332],"category_scores_gemma":[0.0005848734,0.0000829194,0.00007444633,0.0002733969,0.00005937176,0.000003107015,0.0001441458,0.00006380478,0.000003012228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001515733,"about_ca_system_score_gemma":0.00003711917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007869668,"about_ca_topic_score_gemma":0.00002468953,"domain_scores_codex":[0.9994574,0.00002550225,0.0001980066,0.0001447469,0.00005712232,0.0001172109],"domain_scores_gemma":[0.9989361,0.00008095273,0.00005459069,0.0006822255,0.0002170176,0.00002915383],"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":[0.00001473234,0.00007649203,0.00007100953,0.00001837114,0.00002187529,7.169803e-8,0.00001982839,0.00001231487,0.9971968,0.00006724869,0.0003446652,0.002156582],"study_design_scores_gemma":[0.0003484614,0.00004520808,0.0001398844,0.000007680207,0.00002441666,0.0000042008,0.00003092708,0.001630309,0.9793993,0.00006814876,0.01821449,0.00008702979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970739,0.00252958,0.02585709,0.0002451583,0.00005861326,0.000156915,0.00002957254,0.00001920295,0.000364857],"genre_scores_gemma":[0.9941993,0.0001837701,0.005100074,0.0000674841,0.00003567183,0.00006094769,0.000288555,0.00001345556,0.00005077514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02346026,"threshold_uncertainty_score":0.3381355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03403935691764336,"score_gpt":0.3445082914423324,"score_spread":0.310468934524689,"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."}}