{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001138515,0.0001381775,0.0001097427,0.00006225098,0.00007978937,0.00005087454,0.0001765443,0.00009528711,0.000009365778],"category_scores_gemma":[0.00002666242,0.0001089055,0.0001135573,0.00009457242,0.0001181399,0.000003261975,0.00007136219,0.00006839198,0.000001027843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002454321,"about_ca_system_score_gemma":0.0001183159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131475,"about_ca_topic_score_gemma":0.000179497,"domain_scores_codex":[0.9991548,0.00003518012,0.0002304191,0.0002740519,0.00009334283,0.0002122165],"domain_scores_gemma":[0.9996127,0.00001591121,0.00003976317,0.0002408033,0.00005262797,0.00003813011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006495647,0.00009060456,0.001359223,0.00006341997,0.0000492026,0.000001573011,0.0002415219,0.000795323,0.9934899,0.0001198143,0.00030016,0.003482739],"study_design_scores_gemma":[0.0006752804,0.0009692696,0.6070595,0.0001021154,0.00005767561,0.00001514834,0.0003890071,0.001654082,0.3818975,0.0007531375,0.006066897,0.00036041],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866587,0.01150439,0.000720956,0.00008847949,0.0001243487,0.0002729714,0.00005450228,0.00001029905,0.0005653633],"genre_scores_gemma":[0.9982637,0.0009497589,0.0004578956,0.0000188841,0.00004640307,0.00003546756,0.0001275736,0.00002618393,0.00007409493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6115924,"threshold_uncertainty_score":0.4441039,"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."}}