{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00268352,0.001164848,0.0006204474,0.00157485,0.0008795341,0.002452447,0.001571025,0.00213853,0.156922],"category_scores_gemma":[0.002521741,0.0003670093,0.0007257288,0.0009344813,0.000630417,0.001692305,0.003230767,0.002435742,0.04791645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828513,"about_ca_system_score_gemma":0.002945474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007172432,"about_ca_topic_score_gemma":0.0140854,"domain_scores_codex":[0.9992773,0.0001592145,0.00003383557,0.0001100664,0.0002678799,0.0001516493],"domain_scores_gemma":[0.9985425,0.0001358019,0.0000853758,0.0001001772,0.0005500414,0.0005861007],"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":[0.00006067173,0.00002837537,0.000594273,0.0001346314,0.0000140326,0.00004873122,0.00002917465,0.0001057813,0.0001897713,0.001128977,0.9314547,0.0662109],"study_design_scores_gemma":[0.00001189773,0.0000237677,0.002627591,0.000294366,0.00001049033,0.00008892777,0.00008653668,0.00008998434,0.0001443755,0.001234474,0.995378,0.000009653712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005714309,0.1676508,0.008907885,0.13437,0.1195582,0.0009668874,0.03339069,0.002504621,0.5269367],"genre_scores_gemma":[0.03073863,0.1064023,0.01127361,0.01518297,0.02078309,0.001133223,0.03406361,0.001113527,0.779309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.156922,"threshold_uncertainty_score":0.5249565,"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."}}