{"id":"W4409511411","doi":"10.2139/ssrn.5209620","title":"Assessing in silico Tools for Accurate Pathogenicity Prediction in CHD Nucleosome Remodelers","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Concordia University","funders":"","keywords":"In silico; Pathogenicity; Computational biology; Nucleosome; Computer science; Biology; Genetics; DNA; Histone; Microbiology; Gene","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":[0.003993627,0.001684341,0.00136965,0.002016776,0.0007734368,0.002283239,0.001344813,0.001644914,0.005150362],"category_scores_gemma":[0.01519777,0.0006368543,0.001408189,0.001091329,0.0003861915,0.001219705,0.001317795,0.001100123,0.002274873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000615517,"about_ca_system_score_gemma":0.001149179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036391,"about_ca_topic_score_gemma":0.003514109,"domain_scores_codex":[0.9982026,0.0007513806,0.0001214946,0.0002816898,0.0005043521,0.0001385017],"domain_scores_gemma":[0.9872453,0.01036513,0.0005725532,0.0006814925,0.0008354161,0.0003001428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004862591,0.001442541,0.1505098,0.005602687,0.003497176,0.002321089,0.0005359235,0.5124804,0.08086118,0.01244687,0.03227522,0.1931645],"study_design_scores_gemma":[0.0003078787,0.0007358649,0.006650271,0.000208019,0.0007233636,0.0005756925,0.0001622108,0.9495392,0.02583358,0.008034595,0.007164039,0.00006518963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7424182,0.006445419,0.1888217,0.001543761,0.0006822967,0.0003463989,0.0185258,0.02853448,0.01268193],"genre_scores_gemma":[0.8496242,0.00161649,0.1233476,0.0003993957,0.0001343832,0.0001503581,0.02203577,0.001332023,0.001359781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005150362,"threshold_uncertainty_score":0.02112061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375328379167827,"score_gpt":0.3274158285025623,"score_spread":0.2898829905857797,"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."}}