{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004105752,0.000135555,0.0002022493,0.00003742481,0.0001336747,0.000004977271,0.0003636699,0.00007870541,0.00001579897],"category_scores_gemma":[0.0005194673,0.00009705243,0.00004607551,0.00005871254,0.001052305,0.00000115119,0.0001495761,0.0001150746,0.000003292505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008341689,"about_ca_system_score_gemma":0.0001445886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003738449,"about_ca_topic_score_gemma":0.0002626009,"domain_scores_codex":[0.9989662,0.0001585662,0.0002713848,0.0002912835,0.00008020087,0.0002323334],"domain_scores_gemma":[0.9987872,0.0002972585,0.0001677766,0.0005943489,0.00006358809,0.00008984144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001777636,0.00002845945,0.007946227,0.00002145211,0.00005281246,0.000008060143,0.0003825088,0.0001075311,0.9374201,0.003301314,0.03577312,0.01478069],"study_design_scores_gemma":[0.0007656774,0.0005033208,0.008863415,0.00002460803,0.00004295457,0.000009681993,0.0001700375,0.0000654402,0.04482452,0.0007047749,0.9438925,0.0001330652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966765,0.01801998,0.002203239,0.004668461,0.000660746,0.0001940398,0.0001338619,0.00001284957,0.007341813],"genre_scores_gemma":[0.9833801,0.0107759,0.0006370075,0.003079154,0.001536483,0.00003807769,0.00008578542,0.0000388618,0.0004286009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9081194,"threshold_uncertainty_score":0.3957683,"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."}}