{"id":"W2949528721","doi":"10.1093/nar/gkx973","title":"ActiveDriverDB: human disease mutations and genome variation in post-translational modification sites of proteins","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Toronto; Ontario Institute for Cancer Research","funders":"Ontario Institute for Cancer Research; Government of Ontario; Cancer Research Society","keywords":"Biology; Genetics; Missense mutation; Genome; Computational biology; Mutation; Gene; Genomics; Human genome; 1000 Genomes Project; Genotype; Single-nucleotide polymorphism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096192,0.001888277,0.001908758,0.004459344,0.000716655,0.002947443,0.002617664,0.00151522,0.02781593],"category_scores_gemma":[0.002682965,0.0009134889,0.001078363,0.004595611,0.0002884854,0.001526099,0.002823073,0.001057467,0.01717116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005578442,"about_ca_system_score_gemma":0.001215224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296606,"about_ca_topic_score_gemma":0.003941738,"domain_scores_codex":[0.9992709,0.00008299602,0.0001071717,0.0002778355,0.0001578508,0.0001033209],"domain_scores_gemma":[0.9988869,0.000330031,0.0002570784,0.0002401221,0.0001085738,0.000177257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001863082,0.0001644322,0.0229257,0.006495578,0.0008347565,0.001232829,0.0004437463,0.001959608,0.01484527,0.004565592,0.8729802,0.07168916],"study_design_scores_gemma":[0.0007816522,0.0001836357,0.04167403,0.001088626,0.0006671023,0.003164967,0.0002350801,0.004983258,0.01346089,0.01080338,0.9227967,0.0001607176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01148092,0.003441285,0.005045912,0.000337001,0.000124047,0.00009896889,0.9571936,0.01744081,0.004837504],"genre_scores_gemma":[0.02554011,0.001979598,0.009580322,0.0003679391,0.00007129811,0.0002295155,0.9588486,0.001886224,0.001496281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02781593,"threshold_uncertainty_score":0.09305358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04137563196904528,"score_gpt":0.3433368897118608,"score_spread":0.3019612577428155,"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."}}