{"id":"W2576576365","doi":"10.12688/f1000research.10137.1","title":"The Dockstore: enabling modular, community-focused sharing of Docker-based genomics tools and workflows","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome Canada; National Institutes of Health; University of Chicago; University of California, Santa Cruz","keywords":"Workflow; Cloud computing; Upload; Big data; Modular design; Genomics; Computer science; Container (type theory); Data science; Data sharing; Scale (ratio); Genome; World Wide Web; Biology; Database; Engineering; Operating system; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01944726,0.003612218,0.003298971,0.004143327,0.002828283,0.009886851,0.0135031,0.002944062,0.01893762],"category_scores_gemma":[0.03075886,0.004580169,0.004235982,0.003658523,0.004233742,0.01632517,0.04256981,0.01201176,0.02217453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228773,"about_ca_system_score_gemma":0.006669133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007210986,"about_ca_topic_score_gemma":0.005190163,"domain_scores_codex":[0.9877922,0.001952769,0.001495261,0.002909319,0.003957764,0.001892728],"domain_scores_gemma":[0.9750872,0.003015745,0.001246425,0.01171388,0.002547534,0.006389236],"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":[0.005953785,0.001685201,0.009460557,0.001562583,0.001016924,0.002153778,0.005409476,0.02603251,0.04121077,0.0802789,0.5595006,0.265735],"study_design_scores_gemma":[0.001932196,0.0005173176,0.006376795,0.0005934648,0.0002696956,0.0007778201,0.001195027,0.1951597,0.03785138,0.1340823,0.6199304,0.001313891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01157531,0.0005214989,0.4914582,0.001693397,0.0008118349,0.0008442818,0.004181746,0.4754668,0.013447],"genre_scores_gemma":[0.1590682,0.001793774,0.5087783,0.003379002,0.0005797914,0.002927177,0.07208676,0.2267077,0.02467941],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9864969,"threshold_uncertainty_score":0.1028482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4681280215414449,"score_gpt":0.4673669174705596,"score_spread":0.0007611040708853101,"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."}}