{"id":"W2793748119","doi":"10.1111/eva.12616","title":"Fourth International Biannual Evolution and Cancer Conference (Resistance, resilience, and robustness: Can we target cancer's evolutionary and ecological nature?)","year":2018,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Biology; Resistance (ecology); Cancer; Ecology; Environmental ethics; Genetics","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":[0.00009156181,0.0001968668,0.0001493052,0.00008754055,0.0004542068,0.00004218502,0.0001909919,0.0002549905,0.00008783514],"category_scores_gemma":[0.00006321,0.0002056344,0.000030619,0.000163971,0.0007648395,0.00002686303,0.0002579424,0.0001769158,0.000002152809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283281,"about_ca_system_score_gemma":0.0003615736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339647,"about_ca_topic_score_gemma":0.001379276,"domain_scores_codex":[0.9986691,0.00003745604,0.0002263746,0.0006439959,0.000161334,0.0002616993],"domain_scores_gemma":[0.9990801,0.00004905741,0.0001170335,0.0002372584,0.0003493475,0.0001672589],"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":[0.001225754,0.001058123,0.3766923,0.0002941327,0.0007061603,0.00001258118,0.0004546839,0.005113143,0.05065566,0.3223151,0.2138259,0.02764655],"study_design_scores_gemma":[0.0008333121,0.0001725871,0.3580131,0.00005535973,0.00005482915,0.00004965593,0.0002076001,0.007784774,0.000377001,0.01227847,0.61965,0.000523316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7691207,0.1253557,0.06402224,0.0270936,0.001279293,0.002066726,0.006139128,0.0001290876,0.004793542],"genre_scores_gemma":[0.971444,0.01798578,0.007076297,0.0003065002,0.000995472,0.0006883226,0.0002275722,0.00001784828,0.001258241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4058242,"threshold_uncertainty_score":0.8385527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006646478623972823,"score_gpt":0.2558137132735386,"score_spread":0.2491672346495658,"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."}}