{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572941,0.0003560375,0.0004023895,0.003326261,0.0001799371,0.000988894,0.0002330047,0.0003161736,0.001946799],"category_scores_gemma":[0.002065727,0.0001366512,0.0003767876,0.001877606,0.0003708885,0.0006467313,0.0005972318,0.0004478801,0.0003752184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098681,"about_ca_system_score_gemma":0.0001675816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009042253,"about_ca_topic_score_gemma":0.001006284,"domain_scores_codex":[0.9996784,0.00009202689,0.00002601532,0.00008169257,0.00008045688,0.00004149686],"domain_scores_gemma":[0.9986156,0.0004381564,0.0005758748,0.00009640902,0.0001106864,0.000163226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004223757,0.00009932694,0.8964694,0.0002052837,0.000411488,0.0004242804,0.0002979759,0.006689008,0.05957251,0.002833597,0.0006019416,0.03197279],"study_design_scores_gemma":[0.00001129575,0.0001004557,0.958643,0.00002483697,0.0001474145,0.001006018,0.0003654572,0.02038993,0.00710686,0.01044358,0.001734186,0.00002706721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855644,0.001787168,0.007875782,0.00032918,0.00001089577,0.00002920655,0.001590867,0.0001546163,0.002657854],"genre_scores_gemma":[0.9971842,0.0003300751,0.001653719,0.00003274969,0.000007718199,0.000007565285,0.0006287449,0.0000109006,0.0001442481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003326261,"threshold_uncertainty_score":0.006512702,"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."}}