{"id":"W2259129209","doi":"10.1371/journal.pone.0138259","title":"Robustness of Massively Parallel Sequencing Platforms","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Robustness (evolution); Computational biology; Indel; Computer science; Genomics; Genome; Usability; Shotgun sequencing; Massive parallel sequencing; DNA sequencing; Biology; Data mining; Bioinformatics; Genetics; Single-nucleotide polymorphism; Gene","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":[0.0284546,0.001554665,0.001355894,0.001845393,0.001573149,0.003727137,0.002360249,0.001696216,0.001138116],"category_scores_gemma":[0.0792089,0.001289224,0.001196178,0.001864668,0.002271645,0.002153549,0.004345426,0.002358294,0.001221763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279735,"about_ca_system_score_gemma":0.001204473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546989,"about_ca_topic_score_gemma":0.0008129796,"domain_scores_codex":[0.9621816,0.01383121,0.002679871,0.006129275,0.01385909,0.001319004],"domain_scores_gemma":[0.9342298,0.04096041,0.004343341,0.01260582,0.006977672,0.0008829104],"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":[0.005366986,0.0002449823,0.05088044,0.001918577,0.001486114,0.001279775,0.001521761,0.2147945,0.5627918,0.01385243,0.005545734,0.140317],"study_design_scores_gemma":[0.0001933525,0.001483377,0.05332466,0.0003357854,0.0005502496,0.001385713,0.0005010059,0.3531354,0.5309907,0.02689562,0.03067736,0.0005266846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4580317,0.004194922,0.5109608,0.003012696,0.001166012,0.00103318,0.005067398,0.008223378,0.008309992],"genre_scores_gemma":[0.7704625,0.0009681691,0.2182153,0.001050203,0.0002418501,0.001178182,0.00521488,0.0009911546,0.001677673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0284546,"threshold_uncertainty_score":0.1504841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08869943902390365,"score_gpt":0.2334883348728833,"score_spread":0.1447888958489796,"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."}}