{"id":"W3149048453","doi":"10.1093/bioinformatics/btab215","title":"MaveRegistry: a collaboration platform for multiplexed assays of variant effect","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"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; Source code; Multiplexing; Workflow; Computational biology; NOMINATE; Data mining; Biology; Database; Machine learning; Programming language; Telecommunications","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":[0.007586278,0.001745784,0.001827704,0.003412866,0.0009409958,0.004083217,0.003387003,0.001808689,0.05504743],"category_scores_gemma":[0.02357438,0.001495516,0.001722582,0.002080938,0.0007417751,0.003021146,0.007322037,0.002888825,0.04342253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008283175,"about_ca_system_score_gemma":0.002465188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660104,"about_ca_topic_score_gemma":0.003551564,"domain_scores_codex":[0.9948849,0.001278599,0.0003868813,0.001567542,0.001448864,0.0004332846],"domain_scores_gemma":[0.9877012,0.005523079,0.001214186,0.003089087,0.00128562,0.001186739],"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":[0.003936018,0.0002587314,0.01626413,0.001595492,0.001039608,0.001470821,0.00119969,0.004551107,0.04266666,0.0199233,0.7272441,0.1798504],"study_design_scores_gemma":[0.001475541,0.0004673309,0.01806456,0.0005162296,0.0004089964,0.002118347,0.0002782792,0.04644739,0.07435281,0.06544936,0.7897207,0.0007004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01075277,0.001410449,0.3443301,0.001529456,0.000673619,0.0007565249,0.1016434,0.5174266,0.02147718],"genre_scores_gemma":[0.1252725,0.001234156,0.5154991,0.003183575,0.0004776718,0.003823995,0.2155126,0.1084974,0.02649906],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05504743,"threshold_uncertainty_score":0.1841519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008754319354611684,"score_gpt":0.2445944191645959,"score_spread":0.2358400998099842,"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."}}