{"id":"W4232430793","doi":"10.17504/protocols.io.bmpsk5ne","title":"McGill Nanopore Native Barcoding 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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Nanopore; Protocol (science); DNA barcoding; Nanopore sequencing; Computer science; Nanotechnology; Evolutionary biology; Biology; Materials science; Medicine; Genetics; DNA sequencing","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":[0.001106129,0.002360823,0.001965446,0.00200096,0.002219166,0.001566825,0.002971869,0.001588994,0.05633143],"category_scores_gemma":[0.002556731,0.002159027,0.0009175469,0.001276071,0.001007585,0.001341648,0.001798978,0.003350753,0.05717093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068665,"about_ca_system_score_gemma":0.002508197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00703528,"about_ca_topic_score_gemma":0.02875038,"domain_scores_codex":[0.9984743,0.0001618363,0.0001067176,0.0004790409,0.0004838855,0.0002942612],"domain_scores_gemma":[0.9989925,0.0002053376,0.00006069906,0.000391945,0.0002087156,0.0001407208],"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":[0.0003330206,0.0001325505,0.0006609123,0.001245228,0.00008847049,0.0002474642,0.0002544688,0.0003530426,0.8494003,0.004440796,0.1073483,0.03549541],"study_design_scores_gemma":[0.00008631801,0.0001429736,0.00290116,0.0001382123,0.0001020728,0.0006480319,0.00005799933,0.001969658,0.5594027,0.003360756,0.4310443,0.0001458342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.04854581,0.006110673,0.6489772,0.002365296,0.002418827,0.005319297,0.1064837,0.06002669,0.1197525],"genre_scores_gemma":[0.05811917,0.002930625,0.4647753,0.00312795,0.0003967772,0.008982759,0.2176994,0.01512162,0.2288465],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.05633143,"threshold_uncertainty_score":0.1884474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851202350780111,"score_gpt":0.3270225570880214,"score_spread":0.2985105335802202,"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."}}