{"id":"W2950705667","doi":"10.1093/bioinformatics/bty549","title":"SATurn: a modular bioinformatics framework for the design of robust maintainable web-based and standalone applications","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovative Medicines Initiative; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; Kennedy Trust for Rheumatology Research; Wellcome Trust; Ontario Genomics Institute; AbbVie; European Federation of Pharmaceutical Industries and Associations; Boehringer Ingelheim","keywords":"Modular design; Computer science; Saturn; Web application; Open source; Simple (philosophy); World Wide Web; Data science; Software engineering; Software; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089858,0.0002432618,0.0002577606,0.000120874,0.0003532659,0.00009918167,0.0005172382,0.0003170223,0.00001554188],"category_scores_gemma":[0.0006652864,0.000168727,0.0001099489,0.0002710817,0.0009403686,0.00001912688,0.0002065856,0.0001575283,0.00001515063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002754927,"about_ca_system_score_gemma":0.000398109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004631811,"about_ca_topic_score_gemma":0.000006085816,"domain_scores_codex":[0.9981332,0.00003180117,0.0007357995,0.0001583328,0.0004267,0.0005141944],"domain_scores_gemma":[0.9979247,0.0002790112,0.0003169333,0.0007208468,0.0005622047,0.0001962876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00574995,0.002024299,0.002156622,0.01879781,0.003047606,0.000004130488,0.01061549,0.02587717,0.06347893,0.06903189,0.1227431,0.676473],"study_design_scores_gemma":[0.001575484,0.001726432,0.0001398718,0.00009109394,0.00009049279,0.00001096114,0.001901243,0.8406259,0.02321653,0.001969744,0.1282582,0.0003939881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002147595,0.000420781,0.994686,0.0004481759,0.0001113188,0.001635517,0.0001902041,0.00002226158,0.0003381129],"genre_scores_gemma":[0.1195449,0.001057271,0.8775126,0.0008717491,0.0003703874,0.0002558813,0.0001735647,0.00003472323,0.0001789386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8147488,"threshold_uncertainty_score":0.6880488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586986680116412,"score_gpt":0.2816519004378844,"score_spread":0.2557820336367203,"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."}}