{"id":"W1967220865","doi":"10.1016/j.cell.2014.06.049","title":"Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin","year":2014,"lang":"en","type":"article","venue":"Cell","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1574,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute; National Institutes of Health","keywords":"Biology; Bladder cancer; Cancer; Computational biology; Genome; Disease; Lung cancer; Gene; Bioinformatics; Genetics; Pathology","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":[0.0004902999,0.0004131688,0.0004674218,0.003284306,0.0006557673,0.001514585,0.0005256728,0.0004395273,0.008480622],"category_scores_gemma":[0.001302683,0.0002910602,0.0005093511,0.001893742,0.00037757,0.0006756439,0.0008847463,0.0005592406,0.001444598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004805418,"about_ca_system_score_gemma":0.0003602142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014819,"about_ca_topic_score_gemma":0.005296529,"domain_scores_codex":[0.9996405,0.00003599141,0.00002469281,0.00009082699,0.0001259249,0.00008209504],"domain_scores_gemma":[0.9993311,0.0001929622,0.0001431331,0.0001266621,0.0001305322,0.00007562245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003094672,0.0001254084,0.3147678,0.000253503,0.000421391,0.001198718,0.0005976515,0.004001746,0.494343,0.002586008,0.003837832,0.1747723],"study_design_scores_gemma":[0.0001113056,0.0005214256,0.763168,0.000043628,0.0006163602,0.008777593,0.0009825972,0.02789203,0.1747357,0.003781973,0.01929779,0.00007164903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852727,0.0006840295,0.00710046,0.0003446615,0.00001586244,0.00003438947,0.002103857,0.0004766291,0.00396735],"genre_scores_gemma":[0.9813256,0.0004191377,0.01174063,0.00006818167,0.00002303794,0.0000474044,0.003171309,0.00009329394,0.003111439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008480622,"threshold_uncertainty_score":0.02837044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081816981485734,"score_gpt":0.3383695362589222,"score_spread":0.3075513664440649,"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."}}