{"id":"W2011692099","doi":"10.1371/journal.pone.0094507","title":"Prediction and Experimental Characterization of nsSNPs Altering Human PDZ-Binding Motifs","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"PDZ domain; Computational biology; Genetics; Biology; Single-nucleotide polymorphism; Phenotype; In silico; Binding site; Plasma protein binding; Protein domain; Gene; Bioinformatics; Genotype; Cell biology","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":[0.00009117278,0.0000636289,0.00008393403,0.00002826025,0.00005300147,0.00001221289,0.00004767234,0.0000537751,0.00001215118],"category_scores_gemma":[0.00003140468,0.00006784254,0.00001373779,0.00002102332,0.00002721526,0.000005891537,0.00006259068,0.00004296779,0.000002028308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005612697,"about_ca_system_score_gemma":0.000002718927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002500974,"about_ca_topic_score_gemma":4.415042e-7,"domain_scores_codex":[0.9995683,0.00002140683,0.0001470636,0.00009650053,0.00008959429,0.00007711204],"domain_scores_gemma":[0.9997369,0.000002711501,0.00009175318,0.0001193808,0.0000218232,0.00002740305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007874978,0.00008922044,0.01654538,0.00006990495,0.00002773436,3.086623e-8,0.0001201114,0.000006533973,0.9829779,0.00003761656,0.000002605489,0.0001151365],"study_design_scores_gemma":[0.0002302759,0.0002649016,0.01218497,0.00004813841,0.00001389171,0.000001241605,0.00001871026,0.004944548,0.9821371,0.000002820388,0.00009146958,0.00006188449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982363,0.00001045739,0.0009494381,0.00001264517,0.00002118585,0.00008545929,0.00000826574,0.00001324138,0.0006630238],"genre_scores_gemma":[0.9981808,0.00001002296,0.001241498,0.00002140753,0.0001109543,0.000006407253,0.0002778431,0.00001062292,0.0001404221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004938014,"threshold_uncertainty_score":0.2766539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885792679175896,"score_gpt":0.2278973181397918,"score_spread":0.2090393913480329,"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."}}