{"id":"W2987965949","doi":"10.1186/s13059-019-1845-6","title":"MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect","year":2019,"lang":"en","type":"article","venue":"Genome biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":279,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Muscular Dystrophy Canada; University of Toronto","funders":"Medical Research Council; Canadian Institutes of Health Research; National Institutes of Health; National Health and Medical Research Council; Lorenzo and Pamela Galli Charitable Trust; Australian Government; University of Washington","keywords":"Biology; Computational biology; Multiplex; Interoperability; Human genetics; Sequence (biology); Computer science; Resource (disambiguation); Open source; Data mining; Data science; Information retrieval; Bioinformatics; Genetics; World Wide Web; Software; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003283068,0.0001565268,0.0002680383,0.00003166811,0.00003252632,0.00002200333,0.0008907349,0.0002021826,0.00007249665],"category_scores_gemma":[0.00008663098,0.0001369488,0.00002391154,0.00005125918,0.0000712641,0.000006703052,0.001805768,0.00006874745,0.00003741545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001135597,"about_ca_system_score_gemma":0.00004507802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588542,"about_ca_topic_score_gemma":0.0002238743,"domain_scores_codex":[0.9988058,0.0001019269,0.0002234483,0.0006006963,0.00004269193,0.0002254614],"domain_scores_gemma":[0.9987069,0.00003324196,0.00006603116,0.001031626,0.00003596903,0.0001261701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003064035,0.00004195186,0.01203917,0.000009846964,0.00007711605,7.988389e-7,0.00004749702,0.00004647018,0.9850726,0.0001130902,0.0002680218,0.001977009],"study_design_scores_gemma":[0.009799061,0.01726205,0.2905737,0.00007273873,0.0002069858,0.0001138325,0.0003912133,0.02747919,0.08237185,0.001051985,0.5685696,0.002107853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780567,0.0003019907,0.01839966,0.00006299897,0.0001953292,0.0004367247,0.00217656,0.000009576863,0.0003604853],"genre_scores_gemma":[0.9875548,0.00004828754,0.002703331,0.0002398886,0.00007809426,0.000009653513,0.009005896,0.00001817276,0.0003418291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9027008,"threshold_uncertainty_score":0.5584611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686326545011065,"score_gpt":0.2893639845814499,"score_spread":0.2725007191313392,"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."}}