{"id":"W2121906867","doi":"10.1038/nature08987","title":"International network of cancer genome projects","year":2010,"lang":"en","type":"article","venue":"Nature","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2415,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Hospital for Sick Children; Lunenfeld-Tanenbaum Research Institute; Toronto General Hospital; McGill University and Génome Québec Innovation Centre; University of British Columbia; McGill University; Canada's Michael Smith Genome Sciences Centre; Genome Canada; University Health Network; University of Toronto; Canadian Women's Health Network; Ontario Institute for Cancer Research","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Human Genome Research Institute; Wellcome Trust","keywords":"Genome; Cancer; Biology; Computational biology; Genomics; Genetics; Gene","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":[0.006688177,0.002017323,0.0030731,0.01160321,0.002065943,0.004445485,0.003259361,0.001803147,0.06616029],"category_scores_gemma":[0.01225838,0.0007961786,0.001021788,0.02637674,0.0006188638,0.001448179,0.004774065,0.003730673,0.03351637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003007264,"about_ca_system_score_gemma":0.01464488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059747,"about_ca_topic_score_gemma":0.0169981,"domain_scores_codex":[0.9954352,0.001178383,0.0004642574,0.001092898,0.001412987,0.0004163264],"domain_scores_gemma":[0.9921166,0.001300748,0.000711374,0.001424598,0.003059385,0.001387266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004881654,0.00006961357,0.003264901,0.001994694,0.0002582701,0.0001164992,0.0001887036,0.0007711772,0.001216038,0.01463709,0.8654483,0.1115465],"study_design_scores_gemma":[0.0001087539,0.00002539688,0.004195684,0.0003364078,0.00009783301,0.0001092394,0.00005397593,0.0003995625,0.0002802654,0.003441532,0.9909288,0.0000225482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002255627,0.01371303,0.01329103,0.006813993,0.002447113,0.001255289,0.86992,0.004368818,0.08593518],"genre_scores_gemma":[0.007592777,0.008647106,0.02523776,0.001410906,0.0002596802,0.002751317,0.9350612,0.0007078582,0.01833137],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06616029,"threshold_uncertainty_score":0.2213282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004051322987669934,"score_gpt":0.2616086843363494,"score_spread":0.2575573613486795,"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."}}