{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00721397,0.003227653,0.003604377,0.003290922,0.001696312,0.004845541,0.006016106,0.003393563,0.1221535],"category_scores_gemma":[0.01914916,0.002589982,0.003176638,0.002859272,0.0008779679,0.002558163,0.00376592,0.004837086,0.0681923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008388099,"about_ca_system_score_gemma":0.003009239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927984,"about_ca_topic_score_gemma":0.003525508,"domain_scores_codex":[0.997263,0.0008337518,0.000282306,0.0006011721,0.0008427227,0.000176972],"domain_scores_gemma":[0.9916963,0.006111239,0.0004044997,0.0009065377,0.0004399775,0.00044143],"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":[0.001786098,0.0002023479,0.00665968,0.004912732,0.0009712226,0.001238303,0.0003478565,0.007010485,0.02114748,0.01397443,0.8870041,0.05474532],"study_design_scores_gemma":[0.002529181,0.0002996895,0.00817813,0.0008615922,0.0006425675,0.00259877,0.0001525328,0.03534333,0.02927112,0.07273339,0.8468803,0.0005093143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.007992463,0.004140133,0.1746254,0.001676652,0.0008495387,0.0007743681,0.5515771,0.2394841,0.01888033],"genre_scores_gemma":[0.04076327,0.002877225,0.2380463,0.003185743,0.0004150213,0.00522398,0.6086946,0.09184615,0.008947643],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1221535,"threshold_uncertainty_score":0.4086443,"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."}}