{"id":"W2967026866","doi":"10.1158/0008-5472.can-19-0585","title":"Banding Together: A Systematic Comparison of The Cancer Genome Atlas and the Mitelman Databases","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Cancer Agency; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atlas (anatomy); Cancer; Database; Genome; Medicine; Biology; Internal medicine; Genetics; Computer science; Anatomy; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008243361,0.0005483964,0.0009182486,0.01424752,0.001039235,0.002751823,0.001639083,0.0006028725,0.003095009],"category_scores_gemma":[0.03615985,0.0004041671,0.0009274323,0.01390287,0.0004119796,0.002394021,0.003344003,0.0006102496,0.001314724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047483,"about_ca_system_score_gemma":0.002755457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00514761,"about_ca_topic_score_gemma":0.009997681,"domain_scores_codex":[0.9923871,0.002120865,0.001256293,0.001733497,0.002240277,0.0002620777],"domain_scores_gemma":[0.9778802,0.0104441,0.002244282,0.004929558,0.004033086,0.0004688589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003102076,0.0005533855,0.2577856,0.01064375,0.004033878,0.001851756,0.003064742,0.01577077,0.04109347,0.01884273,0.2021745,0.4410833],"study_design_scores_gemma":[0.0004412177,0.0006067831,0.4240808,0.002827042,0.003336005,0.004776401,0.003853224,0.07640818,0.04339712,0.02084684,0.4190267,0.0003997942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4567766,0.01425311,0.07188543,0.003125238,0.0005115677,0.001053016,0.419415,0.0181447,0.01483533],"genre_scores_gemma":[0.3684929,0.003648453,0.1152135,0.000648766,0.00009284719,0.0009467298,0.5073527,0.001979361,0.001624702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424752,"threshold_uncertainty_score":0.04359561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06258615970504361,"score_gpt":0.392397605741044,"score_spread":0.3298114460360004,"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."}}