{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04285778,0.002639526,0.002512731,0.00808729,0.003024241,0.004936873,0.004537161,0.001954208,0.01746409],"category_scores_gemma":[0.0593031,0.001552518,0.001434075,0.007262149,0.001419387,0.002597031,0.004883505,0.003084858,0.01916873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773622,"about_ca_system_score_gemma":0.01385901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526636,"about_ca_topic_score_gemma":0.01236497,"domain_scores_codex":[0.9745874,0.005047646,0.003169805,0.004169548,0.0109125,0.002113015],"domain_scores_gemma":[0.9289854,0.008337136,0.003753121,0.01910446,0.03739584,0.002424152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.008927127,0.001966313,0.03099793,0.004814581,0.0006949024,0.0008417529,0.003008174,0.004202288,0.1143394,0.01078197,0.6840504,0.1353751],"study_design_scores_gemma":[0.0008229239,0.0009134304,0.03956758,0.0006078013,0.0002456508,0.0002922139,0.0007560563,0.005425846,0.1061012,0.003990139,0.8408695,0.0004075226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05508497,0.0006900323,0.1547663,0.001997022,0.001031383,0.01665019,0.7088038,0.03885311,0.02212326],"genre_scores_gemma":[0.02206103,0.000249548,0.1571987,0.0006127203,0.0001174058,0.02107145,0.7814816,0.008159471,0.009048156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04285778,"threshold_uncertainty_score":0.2266563,"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."}}