{"id":"W2529097733","doi":"10.1038/srep34490","title":"Insights into cancer severity from biomolecular interaction mechanisms","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Deutsche Forschungsgemeinschaft","keywords":"Nonsynonymous substitution; Cancer; Computational biology; Biology; Somatic cell; Nucleic acid; Protein–protein interaction; Gene; Genetics; Bioinformatics; Genome","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":[0.0001962579,0.0001248795,0.0001042489,0.00004717214,0.0001582657,0.00009437871,0.0001217489,0.0001243163,0.0001061515],"category_scores_gemma":[0.00002971554,0.00008601581,0.00008162318,0.00009834648,0.0001078257,0.00001336323,0.0001411582,0.00004425475,0.00002986475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003504788,"about_ca_system_score_gemma":0.00009417914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120399,"about_ca_topic_score_gemma":0.0002196354,"domain_scores_codex":[0.9988163,0.00002387998,0.000304751,0.0004979997,0.000178678,0.0001784076],"domain_scores_gemma":[0.998947,0.000004880113,0.0001973044,0.0006512546,0.000101758,0.00009779532],"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":[0.00001143326,0.00001713074,0.0001161757,0.000003480045,0.0000322933,0.0000177615,0.00007886666,0.000007526688,0.9741839,0.00007683148,0.008460533,0.01699413],"study_design_scores_gemma":[0.000131559,0.00002748857,0.0001704755,0.0000346849,0.00001291355,0.00001704339,0.00003327228,0.0001447428,0.7610043,0.04457728,0.1936625,0.000183749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798411,0.0005851686,0.1101741,0.0002241672,0.008292835,0.0001660042,0.000006356313,0.00002178244,0.0006884565],"genre_scores_gemma":[0.9968648,0.00004551635,0.001413249,0.0001324563,0.0001735729,0.00002099168,0.0001129646,0.00001252025,0.001223957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2131795,"threshold_uncertainty_score":0.3507623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007199344098468477,"score_gpt":0.2386011637684438,"score_spread":0.2314018196699753,"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."}}