{"id":"W1996090192","doi":"10.1158/1538-7445.am2011-51","title":"Abstract 51: International Cancer Genome Consortium Data Portal – A ‘one-stop-shop’ for genomic, transcriptomic, and epigenomic data","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Genome; Epigenomics; Computational biology; Biology; Genomics; Genome browser; Computer science; Ensembl; DNA methylation; Genetics; Gene; Gene expression","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":[0.007582474,0.001758002,0.003139172,0.008711372,0.0009622249,0.006656009,0.00488829,0.003512767,0.2404942],"category_scores_gemma":[0.02559679,0.001531832,0.001019022,0.01837146,0.0006067705,0.004532641,0.005310651,0.004057443,0.1762639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221846,"about_ca_system_score_gemma":0.004603876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0098001,"about_ca_topic_score_gemma":0.009476583,"domain_scores_codex":[0.9960318,0.0008847976,0.0007110375,0.0006066242,0.001431206,0.0003344711],"domain_scores_gemma":[0.9791697,0.005633262,0.001177403,0.005992346,0.004446551,0.003580627],"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":[0.000184924,0.0000465105,0.000853417,0.0007634168,0.00004756585,0.0001052571,0.00006958773,0.0003347945,0.000693409,0.002659999,0.9737206,0.02052056],"study_design_scores_gemma":[0.0002854825,0.00003181556,0.002612401,0.0002980218,0.00002934421,0.0001378789,0.00006341052,0.0007344317,0.001414666,0.004593084,0.989732,0.00006749101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003260918,0.0004499879,0.005115728,0.001449822,0.0002252379,0.0002603553,0.9545238,0.02448547,0.01316358],"genre_scores_gemma":[0.002098723,0.0003500084,0.006162792,0.0006642612,0.00007647755,0.0004683027,0.9820157,0.004499596,0.003664155],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2404942,"threshold_uncertainty_score":0.8045332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2504550396893763,"score_gpt":0.4148055704400979,"score_spread":0.1643505307507216,"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."}}