{"id":"W2118527670","doi":"10.1093/database/bar026","title":"International Cancer Genome Consortium Data Portal--a one-stop shop for cancer genomics data","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":672,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Computer science; Genome; Genomics; Interface (matter); Genome browser; Software; Computational biology; World Wide Web; Biology; Gene; Genetics; Operating system","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":[0.0002585547,0.0001913667,0.0001741884,0.00004227145,0.0000810026,0.00004040848,0.001963382,0.00009486498,0.0006813174],"category_scores_gemma":[0.0001786579,0.0002113803,0.00004015465,0.00004694524,0.00009442149,0.00002968113,0.002240586,0.0000882864,0.00001308072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003819407,"about_ca_system_score_gemma":0.0004623342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624192,"about_ca_topic_score_gemma":0.00416578,"domain_scores_codex":[0.9983488,0.00001295534,0.0003053554,0.0008954048,0.0001260118,0.0003114832],"domain_scores_gemma":[0.9968737,0.00002288356,0.0001588815,0.002668346,0.0001312808,0.0001448511],"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":[0.001204218,0.0007647421,0.01336149,0.00016433,0.001415941,0.00004611183,0.0002384963,0.0001314914,0.5993649,0.001463344,0.3627036,0.01914137],"study_design_scores_gemma":[0.0007927033,0.00004499093,0.001047136,0.0000144045,0.000142157,0.000006774563,0.000059062,0.001272851,0.01506033,0.00002242644,0.9811937,0.0003434847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2437976,0.01215908,0.02451043,0.001019282,0.004071543,0.00130998,0.7091202,0.00004635748,0.003965491],"genre_scores_gemma":[0.3351246,0.06175594,0.04042679,0.004871588,0.006466711,0.0005162797,0.5490809,0.0002272381,0.001529985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.61849,"threshold_uncertainty_score":0.8619838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1220212605109674,"score_gpt":0.3372931504936901,"score_spread":0.2152718899827227,"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."}}