{"id":"W2177825474","doi":"10.1158/2159-8290.cd-15-0821","title":"All the World's a Stage: Facilitating Discovery Science and Improved Cancer Care through the Global Alliance for Genomics and Health","year":2015,"lang":"en","type":"letter","venue":"Cancer Discovery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Institute for Health and Care Research; Cancer Research UK","keywords":"Interoperability; Alliance; Genomics; Data sharing; Data science; Health care; Cancer; Computer science; Genome; Knowledge management; Medicine; Biology; Political science; World Wide Web; Genetics; Alternative medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004109727,0.0004533605,0.0003982437,0.00002066203,0.0005273559,0.0007612022,0.0006802226,0.0002124352,0.00000177348],"category_scores_gemma":[0.0001328516,0.0003049783,0.0001148795,0.0001872842,0.001106372,0.00005448264,0.0005964904,0.0004407175,2.83488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108805,"about_ca_system_score_gemma":0.004940051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004629297,"about_ca_topic_score_gemma":0.01486687,"domain_scores_codex":[0.9974569,0.00005115543,0.0003599857,0.001035759,0.0003314881,0.0007646793],"domain_scores_gemma":[0.9983277,0.0001077599,0.0003769048,0.0007420076,0.0003424804,0.0001031947],"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":[0.0001753616,0.00001427079,0.0008398419,0.0007879792,0.0001979475,0.000003655326,0.001435414,0.0007877505,0.001335172,0.0002732448,0.9859154,0.008233974],"study_design_scores_gemma":[0.0006205032,0.0001563491,0.0002599313,0.0001026652,0.00009225929,0.000003988926,0.001083396,0.0001034737,0.0004692557,0.0002825527,0.9963927,0.0004329715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04775729,0.3229791,0.002444499,0.5874246,0.003303734,0.003973032,0.03163484,0.0000233237,0.0004595846],"genre_scores_gemma":[0.03287047,0.05429752,0.0008560463,0.8936556,0.008812656,0.002200902,0.001124628,0.0001619214,0.00602023],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.306231,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317558881568627,"score_gpt":0.3338390908384165,"score_spread":0.3006635020227302,"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."}}