{"id":"W1953000621","doi":"10.12688/f1000research.7201.1","title":"MinION Analysis and Reference Consortium: Phase 1 data release and analysis","year":2015,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":341,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Michael Smith Health Research BC; University of British Columbia","funders":"National Cancer Institute; National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; Rosetrees Trust; Oxford Nanopore Technologies; Wellcome Trust","keywords":"Minion; Nanopore sequencing; DNA sequencing; USB; Protocol (science); Computer science; Computational biology; Biology; Genetics; DNA; Medicine; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001098103,0.0003568538,0.0009631194,0.001550936,0.0001168814,0.0001247139,0.0006344766,0.0002840354,0.0001204852],"category_scores_gemma":[0.0001046033,0.0003371119,0.0001124222,0.001847382,0.0002466318,0.0001364551,0.001381362,0.0007425812,0.00001153052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004971444,"about_ca_system_score_gemma":0.00009819671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000716653,"about_ca_topic_score_gemma":0.001146678,"domain_scores_codex":[0.9974464,0.00009584358,0.0004603109,0.0009215424,0.0006066818,0.0004692372],"domain_scores_gemma":[0.997565,0.0001686358,0.00006341175,0.001561665,0.000259307,0.0003820378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001602399,0.001415459,0.4273171,0.008725954,0.2073839,0.001893427,0.007444306,0.03612766,0.003911469,0.0004132806,0.1340071,0.1697579],"study_design_scores_gemma":[0.00394279,0.0003424232,0.09064502,0.000256165,0.04541463,0.0000112059,0.0008757102,0.8122775,0.001858778,0.001869719,0.03970603,0.002800055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475821,0.0332242,0.008229394,0.0002761686,0.0001672336,0.0006921355,0.007179885,0.0003829101,0.002265987],"genre_scores_gemma":[0.9701225,0.02189819,0.0008098818,0.000009720468,0.00008695061,0.00005432817,0.00646757,0.00004221616,0.0005086221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7761498,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513946841620621,"score_gpt":0.3805451427621077,"score_spread":0.2291504586000456,"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."}}