{"id":"W2888534971","doi":"10.1146/annurev-ecolsys-110617-062358","title":"The Contemporary Evolution of Fitness","year":2018,"lang":"en","type":"article","venue":"Annual Review of Ecology Evolution and Systematics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic Fitness; Selection (genetic algorithm); Population; Genetic drift; Mutation rate; Biology; Mutation; Evolutionary biology; Range (aeronautics); Gene flow; Genetic load; Population size; Genetic variation; Genetics; Biological evolution; Gene; Demography; Computer science; Artificial intelligence","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":[0.001662705,0.0005727283,0.0007121483,0.001240038,0.0007152692,0.003845704,0.0007085273,0.00185138,0.006357624],"category_scores_gemma":[0.00527906,0.0002859388,0.0003869101,0.001574643,0.006522947,0.004473121,0.001696951,0.001940197,0.001466431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628287,"about_ca_system_score_gemma":0.0007618698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00228261,"about_ca_topic_score_gemma":0.001257461,"domain_scores_codex":[0.9984863,0.0003652059,0.00006425681,0.0007013061,0.0002995574,0.0000833611],"domain_scores_gemma":[0.9986787,0.0006139337,0.0002174883,0.0002174404,0.0001933765,0.00007903309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004384179,0.00003735688,0.01480216,0.0006414588,0.0002570327,0.0001913823,0.001575172,0.007598524,0.006319549,0.6834197,0.007383768,0.27773],"study_design_scores_gemma":[0.00001288196,0.0001474957,0.07414948,0.0006707189,0.00008709727,0.001022505,0.0009537908,0.004671102,0.001572188,0.6530743,0.2635179,0.0001206043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2349589,0.2516913,0.1279098,0.0330406,0.00164367,0.00009774375,0.001880902,0.0005273434,0.3482497],"genre_scores_gemma":[0.8747838,0.08305384,0.01836216,0.004241733,0.001113217,0.000137129,0.0004983732,0.0001788784,0.01763088],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006357624,"threshold_uncertainty_score":0.02126831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009486684655339174,"score_gpt":0.2774032111250328,"score_spread":0.2679165264696936,"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."}}