{"id":"W3015080146","doi":"10.1093/bioinformatics/btaa228","title":"MaveQuest: a web resource for planning experimental tests of human variant effects","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Institutes of Health; National Human Genome Research Institute; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Resource (disambiguation); Web resource; World Wide Web; Computational biology; Biology","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":[0.00004685849,0.0001021957,0.0001214829,0.00001836482,0.00005812321,0.00001609112,0.0001329742,0.00006691243,0.000002945513],"category_scores_gemma":[0.00005916967,0.0000933944,0.00008128932,0.00003249803,0.00003237908,0.000003129472,0.00008602299,0.00002654208,0.000002711331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005271811,"about_ca_system_score_gemma":0.0000442105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.967303e-7,"about_ca_topic_score_gemma":2.470462e-7,"domain_scores_codex":[0.9994739,0.000008554094,0.0002158463,0.00009614618,0.0000667903,0.0001388154],"domain_scores_gemma":[0.9996151,0.00001281734,0.0001053492,0.0001421581,0.00002775275,0.00009685654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001106252,0.00007647591,0.0003352384,0.0004405241,0.00006248782,0.00000779491,0.001109727,0.00009743909,0.9878709,0.0003480011,0.009185792,0.0003550436],"study_design_scores_gemma":[0.002638704,0.00300985,0.0008703631,0.0001040084,0.00006692956,0.00002985594,0.001559213,0.008735265,0.9259659,0.0000433017,0.05649761,0.0004789846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955984,0.0006649836,0.001400399,0.00005378726,0.0000483372,0.000362898,0.00009786127,0.00001543326,0.001757914],"genre_scores_gemma":[0.994406,0.000004378515,0.004659318,0.0005238176,0.0001227135,0.00001866491,0.000220968,0.00001400903,0.00003014096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06190494,"threshold_uncertainty_score":0.3808513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608964652797489,"score_gpt":0.2720287293379269,"score_spread":0.255939082809952,"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."}}