{"id":"W2127421473","doi":"10.1089/cmb.2013.0042","title":"IDBA-MT: <i>De Novo</i> Assembler for Metatranscriptomic Data Generated from Next-Generation Sequencing Technology","year":2013,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Toronto","funders":"","keywords":"Contig; Sequence assembly; Computational biology; DNA sequencing; Genome; Biology; Computer science; Transcriptome; Genetics; 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":[0.001547534,0.002049431,0.001667897,0.001451576,0.00116414,0.001856523,0.001843476,0.001104266,0.004750251],"category_scores_gemma":[0.002796549,0.001408573,0.001677065,0.001233672,0.0004870479,0.001024778,0.001281648,0.003415703,0.006707865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000789495,"about_ca_system_score_gemma":0.001101203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048799,"about_ca_topic_score_gemma":0.001534667,"domain_scores_codex":[0.9985967,0.0003253175,0.000195113,0.0003239133,0.0004462256,0.0001127185],"domain_scores_gemma":[0.9988886,0.0002794786,0.0002283177,0.0002640827,0.0002355219,0.0001040954],"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":[0.0007211228,0.0001789475,0.001736555,0.00165475,0.0003125454,0.0005361338,0.000473605,0.004565328,0.8331181,0.006232676,0.02893019,0.12154],"study_design_scores_gemma":[0.0001080656,0.0002917644,0.001586423,0.0001244288,0.0001531671,0.001142405,0.00009232249,0.05515642,0.7156461,0.002975062,0.2225261,0.0001977149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0175131,0.001671269,0.910246,0.0002935627,0.0004606136,0.0004137363,0.00437802,0.06102423,0.003999357],"genre_scores_gemma":[0.03820569,0.00108409,0.9322991,0.0003145333,0.00007142976,0.0007082705,0.01557274,0.006922105,0.004822016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004750251,"threshold_uncertainty_score":0.01589119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08796824590738316,"score_gpt":0.2947364766319145,"score_spread":0.2067682307245314,"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."}}