{"id":"W2067316842","doi":"10.1038/nmeth.3106","title":"A defining decade in DNA sequencing","year":2014,"lang":"en","type":"article","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Computational biology; DNA sequencing; DNA; Biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008897298,0.0001112908,0.0001463344,0.00004423906,0.00004332708,0.00001019267,0.000134921,0.0002854612,0.000003105901],"category_scores_gemma":[0.0005699868,0.0001021363,0.00005397719,0.00009314097,0.00002758798,2.952388e-7,0.00009906089,0.0002295477,0.000002343255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561484,"about_ca_system_score_gemma":0.00003481144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001026975,"about_ca_topic_score_gemma":0.00003344437,"domain_scores_codex":[0.9991288,0.0002136457,0.0001348476,0.0002672802,0.00005507576,0.0002003674],"domain_scores_gemma":[0.9995979,0.00006780781,0.00004101605,0.0002236003,0.00003217973,0.00003750031],"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":[0.00001307227,0.000006147974,0.004998969,0.000008059613,0.00001953864,8.014308e-7,0.0001032584,0.0000852407,0.9563907,0.001598418,0.0001569403,0.03661886],"study_design_scores_gemma":[0.0005097361,0.0001332017,0.02645144,0.00001792742,0.00001644165,0.00001616894,0.0001187322,0.0003484094,0.7984606,0.003528595,0.1700955,0.0003032588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644004,0.009019174,0.01577967,0.0001455814,0.0003589435,0.00008303639,0.000002629463,0.000004721382,0.01020591],"genre_scores_gemma":[0.7774441,0.00008217699,0.2216246,0.0006046076,0.0001335144,0.000008748926,0.000005623697,0.00001279503,0.00008378759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.205845,"threshold_uncertainty_score":0.4164996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125378664782546,"score_gpt":0.339524113013793,"score_spread":0.3269862465355384,"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."}}