{"id":"W4412727434","doi":"10.3390/ijms26146561","title":"Predicting the Damaging Potential of Uncharacterized KCNQ1 and KCNE1 Variants","year":2025,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708806,0.00004807473,0.00007858054,0.0001127035,0.00003030409,0.0000549416,0.0003221579,0.00001832971,0.000003579037],"category_scores_gemma":[0.0001699336,0.00003252744,0.00004072717,0.0001059309,0.0001010752,0.00008746659,0.00004757602,0.00009834698,1.284384e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000133668,"about_ca_system_score_gemma":0.0000343697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006677038,"about_ca_topic_score_gemma":3.075684e-7,"domain_scores_codex":[0.9993874,0.00001542324,0.0002210239,0.00005161412,0.0002591196,0.00006539218],"domain_scores_gemma":[0.9996498,0.00008397709,0.00006557808,0.00004654645,0.0001351918,0.00001893934],"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":[0.00002126001,0.00005661418,0.02103909,0.00006326121,0.0004331291,0.0001104569,0.000453623,0.4208433,0.5353374,0.006774614,0.00008188463,0.0147854],"study_design_scores_gemma":[0.001253062,0.000135357,0.2875967,0.0008609766,0.0001264371,0.0002783161,0.0004501039,0.6125149,0.0876414,0.007895735,0.0009996308,0.000247324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632428,0.0006950774,0.03355253,0.000649384,0.001382732,0.00002621655,0.000002778299,0.00000744854,0.0004410659],"genre_scores_gemma":[0.9985411,0.0001770328,0.001186068,0.00004549017,0.00004340247,4.255439e-7,2.150596e-7,0.000002441724,0.000003837534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447696,"threshold_uncertainty_score":0.132643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00327742341766911,"score_gpt":0.2244369456172302,"score_spread":0.2211595221995611,"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."}}