{"id":"W3083070291","doi":"10.17504/protocols.io.bjktkkwn","title":"nCoV-2019 McGill Nanopore LibPrep Protocol, 10 ng NB v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Nanopore; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Protocol (science); 2019-20 coronavirus outbreak; Nanotechnology; Computer science; Materials science; Medicine; Virology; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001265156,0.002641908,0.002227986,0.002042693,0.002473028,0.001785835,0.003825672,0.001672335,0.07431769],"category_scores_gemma":[0.002831016,0.002133462,0.001129005,0.001362454,0.0009486009,0.001172938,0.001947393,0.003722343,0.08826225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463,"about_ca_system_score_gemma":0.00341096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099393,"about_ca_topic_score_gemma":0.03763358,"domain_scores_codex":[0.9983399,0.0001799689,0.0001194624,0.000447944,0.0005497455,0.0003629959],"domain_scores_gemma":[0.9990323,0.0001835499,0.00004432231,0.000382058,0.0002266236,0.0001311528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005858116,0.0002443694,0.0009067107,0.001662657,0.0001317769,0.0003322318,0.000284928,0.0004265824,0.7046033,0.006588015,0.2381727,0.04606107],"study_design_scores_gemma":[0.00009832431,0.0001111413,0.002706995,0.000130607,0.00009141308,0.0005368732,0.00004454701,0.001322276,0.4101272,0.002573364,0.5821386,0.0001186486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.04698639,0.00867186,0.4046651,0.003059119,0.003439091,0.007563933,0.2685686,0.05679112,0.2002549],"genre_scores_gemma":[0.04405802,0.002575287,0.2530445,0.002592535,0.0004061103,0.008089045,0.4738605,0.0153989,0.1999751],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.07431769,"threshold_uncertainty_score":0.2486175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064375653815355,"score_gpt":0.3154263910776861,"score_spread":0.2947826345395326,"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."}}