{"id":"W2133462977","doi":"10.5858/arpa.2014-0330-cp","title":"The Cancer Genomics Resource List 2014","year":2014,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shared Health","funders":"","keywords":"Annotation; Genomics; Resource (disambiguation); Context (archaeology); DNA sequencing; Gene Annotation; Medicine; Gene; Bioinformatics; Computer science; Genetics; Genome; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003388355,0.001253419,0.001305362,0.01013505,0.001362856,0.003225005,0.003212591,0.001893227,0.3342436],"category_scores_gemma":[0.01405419,0.0009006367,0.0006661824,0.01719212,0.0004400738,0.002595133,0.003132703,0.001940682,0.1870541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917778,"about_ca_system_score_gemma":0.006040578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702676,"about_ca_topic_score_gemma":0.01742665,"domain_scores_codex":[0.9977714,0.0004368293,0.0002798866,0.0004245511,0.0008362024,0.0002512184],"domain_scores_gemma":[0.9912654,0.002775218,0.000706983,0.0009794213,0.003302253,0.0009708352],"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":[0.00006026595,0.0000140926,0.0002759743,0.0005887396,0.000009637136,0.00003424269,0.00003625561,0.00008679165,0.000342623,0.001794206,0.9735077,0.02324944],"study_design_scores_gemma":[0.00003016805,0.000008809184,0.001082284,0.0002393793,0.00001304888,0.00006145284,0.00002891581,0.0001185687,0.0003828157,0.001060551,0.9969572,0.00001680306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005768392,0.0008975488,0.003908345,0.002425901,0.0002762319,0.0002958967,0.9312757,0.006744137,0.0535994],"genre_scores_gemma":[0.001290844,0.0005872243,0.007672585,0.00075825,0.00007300539,0.0003649622,0.9745715,0.001593995,0.0130875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3342436,"threshold_uncertainty_score":0.9496207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005049485316903801,"score_gpt":0.2434576939133397,"score_spread":0.2384082085964359,"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."}}