{"id":"W4324303329","doi":"10.1038/s41598-023-30993-2","title":"Extraction-free clinical detection of SARS-CoV-2 virus from saline gargle samples using Hamilton STARlet liquid handler","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Centre for Disease Control; B.C. Women's Hospital & Health Centre; University of British Columbia","funders":"BC Children's Hospital","keywords":"Turnaround time; Sample (material); Multiplex; Economic shortage; Computer science; Automation; Cartridge; Medicine; Chromatography; Bioinformatics; Biology; Chemistry; Engineering; Operating system","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":[0.001344571,0.0007221805,0.0005243476,0.0008344969,0.0003731643,0.0006875517,0.0008352184,0.0006282461,0.003008053],"category_scores_gemma":[0.001789791,0.000471423,0.0004351097,0.0004817096,0.0005811235,0.0003695542,0.0007433001,0.0004571453,0.002974057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384286,"about_ca_system_score_gemma":0.0008552391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319184,"about_ca_topic_score_gemma":0.003722425,"domain_scores_codex":[0.9976848,0.0005888743,0.0001786909,0.0004308596,0.0009895784,0.0001272253],"domain_scores_gemma":[0.9992533,0.0001997751,0.0001533298,0.00012198,0.000220215,0.00005127322],"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":[0.0001986615,0.0001184851,0.002108765,0.0001437614,0.00001526173,0.0002391074,0.0001510704,0.0001803934,0.9724946,0.000179202,0.001256542,0.02291408],"study_design_scores_gemma":[0.00007278367,0.00174411,0.01043116,0.0000640404,0.00005530856,0.001390738,0.0001103692,0.003827711,0.9641259,0.0002198306,0.01788324,0.00007490566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5221086,0.003250305,0.4463642,0.0009754243,0.0004667419,0.006920024,0.003204327,0.00618643,0.01052398],"genre_scores_gemma":[0.4997427,0.002846882,0.47451,0.001358235,0.0001933771,0.002900553,0.007419718,0.0006286044,0.01039994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003008053,"threshold_uncertainty_score":0.01006299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.179220659122458,"score_gpt":0.4022252586185144,"score_spread":0.2230045994960563,"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."}}