{"id":"W2898760629","doi":"10.1101/459552","title":"GenPipes: an open-source framework for distributed and scalable genomic analyses","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University; National Research Council Canada; Compute Canada; McGill University and Génome Québec Innovation Centre; Université de Montréal; Ontario Genomics","funders":"","keywords":"Computer science; Scalability; Workflow; Cloud computing; MIT License; Python (programming language); Genomics; Software; Metagenomics; Software deployment; Server; Distributed computing; Data science; Software engineering; Database; World Wide Web; Genome; Operating system; Biology","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":[0.004998562,0.00251167,0.001967104,0.001586645,0.001460291,0.002613135,0.006403366,0.001173451,0.0205253],"category_scores_gemma":[0.005321505,0.002678418,0.003028389,0.001809008,0.00163518,0.003378751,0.006043013,0.005281853,0.01568205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009835627,"about_ca_system_score_gemma":0.00464024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006174338,"about_ca_topic_score_gemma":0.004862408,"domain_scores_codex":[0.9982225,0.0003315096,0.0001612266,0.0004211922,0.0006039176,0.0002596065],"domain_scores_gemma":[0.9982344,0.0006511894,0.0001681417,0.000359026,0.0002804023,0.0003069229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002645902,0.0004387009,0.004668736,0.004298267,0.001608279,0.001251304,0.0009756341,0.05183201,0.04495325,0.0382905,0.6918748,0.1571625],"study_design_scores_gemma":[0.00164594,0.0002288392,0.005047326,0.0004963649,0.000294073,0.0009203675,0.0001799064,0.3234182,0.04176776,0.09282929,0.5324237,0.0007481661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002738613,0.0004752859,0.4744409,0.0004917774,0.0003037599,0.0003680014,0.0245667,0.4935897,0.003025182],"genre_scores_gemma":[0.05513833,0.001310794,0.6943858,0.001184664,0.000269777,0.003639172,0.1023343,0.1350551,0.00668209],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0205253,"threshold_uncertainty_score":0.06866401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306196607450594,"score_gpt":0.2841129563815331,"score_spread":0.2534932956364737,"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."}}