{"id":"W4224289048","doi":"10.1093/bioinformatics/btac286","title":"Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Princess Margaret Cancer Centre; CancerCare Manitoba; Public Health Ontario; University of Toronto","funders":"","keywords":"Computer science; Data mining; Concordance; Machine learning; Artificial intelligence; Bioinformatics; Biology","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":[0.002218035,0.001192599,0.001012816,0.0006917749,0.0004065284,0.0008175701,0.001610774,0.0008392128,0.002804964],"category_scores_gemma":[0.004138588,0.0003499293,0.000954162,0.0008510266,0.0007057341,0.0009915223,0.001201877,0.001740257,0.0005883788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461928,"about_ca_system_score_gemma":0.00219294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109051,"about_ca_topic_score_gemma":0.01749562,"domain_scores_codex":[0.9995199,0.0001359006,0.00002962579,0.0001467646,0.0000783841,0.00008932353],"domain_scores_gemma":[0.9990066,0.000403195,0.0001561674,0.00009525424,0.0002332722,0.0001055408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002947658,0.00009957159,0.01258629,0.0000966304,0.0001317055,0.0001432102,0.0000945379,0.9074368,0.001757882,0.0145591,0.004029676,0.05876991],"study_design_scores_gemma":[0.000004653436,0.000008513319,0.0002498566,0.000003361399,0.000008260358,0.00001304269,0.00000306098,0.9954347,0.0001633119,0.003924666,0.00018146,0.000005106328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07901101,0.0007498055,0.9139016,0.001410383,0.0001116347,0.00008294973,0.001916246,0.001453058,0.001363315],"genre_scores_gemma":[0.8713201,0.0006305617,0.1187571,0.0003458209,0.0001397937,0.000260563,0.003283612,0.00014826,0.005114248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02109051,"threshold_uncertainty_score":0.0419355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521290491139316,"score_gpt":0.2645198459108921,"score_spread":0.2393069409994989,"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."}}