{"id":"W2083186976","doi":"10.1111/eva.12265","title":"Evolutionary perspective of cancer: myth, metaphors, and reality","year":2015,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Institut écologie et environnement; China Railway Eryuan Engineering Group; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Biology; Evolutionary dynamics; Adaptation (eye); Evolutionary medicine; Perspective (graphical); Context (archaeology); Enthusiasm; Cognitive science; Cancer; Evolutionary ecology; Evolutionary biology; Ecology; Neuroscience; Computer science; Psychology; Artificial intelligence; Sociology; Population; Genetics; Social psychology","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":[0.00009227694,0.00009298444,0.0001063779,0.00003778132,0.00008452567,0.000004673077,0.0001086465,0.0000757689,0.000009814818],"category_scores_gemma":[0.0000597303,0.0001018741,0.00004673905,0.000129886,0.0001883714,0.000004737894,0.0001089003,0.00005128832,0.000004458409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009592895,"about_ca_system_score_gemma":0.0003431386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008874407,"about_ca_topic_score_gemma":0.000106898,"domain_scores_codex":[0.9993037,0.00002645249,0.0001645183,0.0002809626,0.0001068761,0.0001174797],"domain_scores_gemma":[0.9991329,0.00002030065,0.00008440591,0.0002981875,0.0003470073,0.0001171557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004864486,0.001057572,0.08564457,0.00008421452,0.0006022208,0.000002014302,0.0006124041,0.004998962,0.08008265,0.437054,0.3815237,0.007851164],"study_design_scores_gemma":[0.0009748036,0.0002674576,0.1012639,0.0000126679,0.0001358444,0.00003291929,0.001066654,0.0006776887,0.005370184,0.04481997,0.8449687,0.0004092222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4950241,0.3594882,0.06471708,0.021225,0.0007636116,0.003873587,0.006909512,0.0001478339,0.04785101],"genre_scores_gemma":[0.9917791,0.00302852,0.003704926,0.0001536481,0.0003304736,0.0003729568,0.0002689308,0.00001355455,0.0003479142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4967549,"threshold_uncertainty_score":0.4154305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715896085686684,"score_gpt":0.2959036627013449,"score_spread":0.278744701844478,"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."}}