{"id":"W3171222343","doi":"10.1101/2021.06.04.445363","title":"LPMX: A pure rootless composable container system","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Institute of Genetics; University of Tokyo","keywords":"Container (type theory); Computer science; Composability; Host (biology); Process (computing); Operating system; Source code; Distributed computing; Code (set theory); Virtualization; Engineering; Programming language; Cloud computing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001888132,0.001212707,0.0007667204,0.0008676465,0.0007078757,0.002090852,0.003562639,0.0008982187,0.01336328],"category_scores_gemma":[0.003633118,0.001013437,0.001068682,0.0004972275,0.000902141,0.004187323,0.006150386,0.00200517,0.01040996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006306015,"about_ca_system_score_gemma":0.001121389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105117,"about_ca_topic_score_gemma":0.0006611232,"domain_scores_codex":[0.9986101,0.0001653536,0.0001339478,0.0004035271,0.0005190925,0.0001678979],"domain_scores_gemma":[0.9977912,0.0003240482,0.000162198,0.001073415,0.0002652392,0.0003838808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003295161,0.0006034236,0.009332549,0.001387362,0.0003406824,0.002552846,0.002031701,0.01724339,0.1905616,0.04844982,0.3100959,0.4141055],"study_design_scores_gemma":[0.0005358431,0.0005420162,0.00641238,0.0002256104,0.0002276965,0.001395874,0.0002753344,0.1816287,0.1498233,0.02807811,0.630399,0.0004560791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02057318,0.0004082176,0.5173455,0.0004275655,0.0002683991,0.0003808216,0.002013714,0.4476361,0.01094652],"genre_scores_gemma":[0.2354786,0.0007225982,0.6439674,0.0009339289,0.0002252777,0.001006055,0.02306738,0.05909701,0.03550169],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01336328,"threshold_uncertainty_score":0.04470462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009301789442545717,"score_gpt":0.2011621644091675,"score_spread":0.1918603749666217,"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."}}