{"id":"W4405701161","doi":"10.1007/s00439-024-02720-y","title":"Assessing the predicted impact of single amino acid substitutions in calmodulin for CAGI6 challenges","year":2024,"lang":"en","type":"article","venue":"Human Genetics","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institute on Aging; National Human Genome Research Institute; Università degli Studi di Verona; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Biology; Calmodulin; Human genetics; Molecular medicine; Computational biology; Amino acid; Genetics; Biochemistry; Bioinformatics; Gene; Enzyme; Cell cycle","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003312405,0.001300181,0.001028514,0.0005222589,0.0008848538,0.001111181,0.001256239,0.001311858,0.004221521],"category_scores_gemma":[0.006928549,0.0002525715,0.0009349791,0.0004733749,0.0006124352,0.0006861489,0.0006750183,0.002344273,0.001083498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008838758,"about_ca_system_score_gemma":0.001465744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005079119,"about_ca_topic_score_gemma":0.01026955,"domain_scores_codex":[0.997885,0.0007036303,0.00008752959,0.0004341556,0.0006966941,0.0001928986],"domain_scores_gemma":[0.995735,0.002714888,0.0004518645,0.0002060287,0.0005294331,0.0003627047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005593063,0.00144776,0.2834829,0.001096796,0.002682459,0.007585733,0.0003835922,0.117962,0.4668905,0.009399758,0.01276789,0.09070747],"study_design_scores_gemma":[0.001012479,0.003156568,0.1879923,0.0004915597,0.003293871,0.005986401,0.001036784,0.5521152,0.1972408,0.02143008,0.02597747,0.0002665264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661341,0.001704947,0.0189442,0.002316694,0.0005573445,0.00009580989,0.002722755,0.0004787522,0.007045391],"genre_scores_gemma":[0.9908557,0.0002661146,0.006126857,0.0006200157,0.00007458684,0.00002165234,0.001502134,0.0001175775,0.0004153828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005079119,"threshold_uncertainty_score":0.01751792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705095653258919,"score_gpt":0.3383940931313673,"score_spread":0.2813431365987781,"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."}}