{"id":"W2282409170","doi":"10.1111/eva.12359","title":"Third International Biannual Evolution and Cancer Conference (Evolutionary Trade‐offs and Clinical Consequences) Meeting report. San Francisco, CA, USA. 10–13 December 2015","year":2016,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; University of California, Riverside; University of Utah","keywords":"Cancer; Evolutionary medicine; Disease; Darwinism; Epigenetics; Evolutionary developmental biology; Biology; Evolutionary biology; Medicine; Genetics; Pathology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002851234,0.0002099025,0.0001916814,0.0000690723,0.0002834865,0.00003300025,0.0002067595,0.0002386313,0.000291151],"category_scores_gemma":[0.0002662882,0.000191134,0.0000735065,0.0001081835,0.0007903223,0.00003250448,0.0002037517,0.0001228875,0.00003857758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123438,"about_ca_system_score_gemma":0.0005171037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004409478,"about_ca_topic_score_gemma":0.000965988,"domain_scores_codex":[0.9981672,0.0000722012,0.0005534717,0.0007226471,0.0002132868,0.0002712281],"domain_scores_gemma":[0.9987223,0.0001643771,0.0002558503,0.0003830374,0.0002593462,0.0002150891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003154713,0.0003944138,0.5271374,0.00003447837,0.000367927,0.00002309937,0.00006445266,0.0001888799,0.08209629,0.01556884,0.3540063,0.01980248],"study_design_scores_gemma":[0.00111515,0.0001527012,0.3605421,0.00007093314,0.00008493503,0.0003834802,0.00008427786,0.000843981,0.0004774608,0.003868134,0.6318825,0.0004943263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8180815,0.03254091,0.09604467,0.02759228,0.001741172,0.002207588,0.004524117,0.0001262954,0.01714144],"genre_scores_gemma":[0.9868653,0.005951971,0.0028926,0.0002729918,0.0009602008,0.0004177963,0.0003792905,0.00002259413,0.002237235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2778762,"threshold_uncertainty_score":0.7794219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808366140623375,"score_gpt":0.3123047720477254,"score_spread":0.2942211106414916,"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."}}