{"id":"W3204910624","doi":"10.7717/peerj.12050","title":"Cross-reactivity and inclusivity analysis of CRISPR-based diagnostic assays of coronavirus SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"PeerJ","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; York University","funders":"","keywords":"CRISPR; In silico; Coronavirus; Virology; Computational biology; Molecular diagnostics; Biology; Genome; Diagnostic test; Cross-reactivity; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Polymerase chain reaction; Coronavirus disease 2019 (COVID-19); Gene; Genetics; Disease; Medicine; Infectious disease (medical specialty); Cross reactions","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008706679,0.001014486,0.001144751,0.001748034,0.0006578013,0.001949724,0.001422024,0.001359528,0.00264729],"category_scores_gemma":[0.01710221,0.001005483,0.001455297,0.0006855384,0.000850159,0.0006256874,0.001502714,0.0011277,0.001575664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007198732,"about_ca_system_score_gemma":0.0009988291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007013822,"about_ca_topic_score_gemma":0.001283895,"domain_scores_codex":[0.9831812,0.00545774,0.001672448,0.002350898,0.006636963,0.0007007489],"domain_scores_gemma":[0.9859076,0.006502445,0.002189929,0.00166634,0.003363097,0.0003707145],"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":[0.0003877047,0.0002123986,0.01163698,0.001310103,0.0002492421,0.0007411176,0.0004972246,0.005453154,0.9402511,0.001366952,0.002661238,0.03523277],"study_design_scores_gemma":[0.00002304514,0.0008714307,0.008633794,0.0001211833,0.0002043039,0.001168011,0.0001501182,0.01119074,0.9528983,0.0005611796,0.02404755,0.0001301643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.698779,0.00532168,0.259479,0.001634847,0.001092929,0.00232489,0.006071293,0.003352221,0.02194407],"genre_scores_gemma":[0.709304,0.003457585,0.2681005,0.0008349289,0.000111837,0.001393539,0.007930429,0.000716457,0.008150724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008706679,"threshold_uncertainty_score":0.04604584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201399544536661,"score_gpt":0.3691252581644717,"score_spread":0.3489853037108056,"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."}}