{"id":"W4282979998","doi":"10.1158/1538-7445.am2022-2273","title":"Abstract 2273: Unsupervised clustering of multi-omics molecular layers reveals consensus molecular subtypes showing potential therapeutic opportunities for pancreatic cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Omics; Pancreatic cancer; Computational biology; Biology; Transcriptome; Metabolomics; Cancer; Proteome; Bioinformatics; Precision medicine; Molecular medicine; Gene; Genetics; Gene expression; Cell cycle","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":[0.0009351372,0.0009978185,0.00104893,0.00325586,0.0006564457,0.002071535,0.0005316191,0.0004813904,0.002125254],"category_scores_gemma":[0.001824801,0.0002254142,0.001492203,0.003302385,0.0003604519,0.0005159095,0.001243417,0.0006530277,0.001139995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006250342,"about_ca_system_score_gemma":0.001274332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284156,"about_ca_topic_score_gemma":0.002949543,"domain_scores_codex":[0.9991732,0.0001108333,0.00007511152,0.000332001,0.0001944823,0.0001142653],"domain_scores_gemma":[0.9993472,0.0001610278,0.0001377068,0.0001193411,0.0001718363,0.00006295022],"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":[0.002736425,0.0004647651,0.2876441,0.00355701,0.00332966,0.000957816,0.000639246,0.01389801,0.4213523,0.002456264,0.0334611,0.2295033],"study_design_scores_gemma":[0.0001638452,0.0005229295,0.7395967,0.0004230626,0.002319951,0.00170047,0.001091145,0.07988472,0.105591,0.01014021,0.05828856,0.0002774014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7586554,0.00909364,0.08142763,0.001452985,0.0002717682,0.0004669602,0.1365296,0.004578902,0.007523261],"genre_scores_gemma":[0.7874362,0.002630962,0.05284598,0.000397424,0.00009532229,0.0004411603,0.1532267,0.0004874196,0.002438927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00325586,"threshold_uncertainty_score":0.007109702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203566426601742,"score_gpt":0.3683587835653453,"score_spread":0.248002140905171,"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."}}