{"id":"W4244758980","doi":"10.1554/05-502.1","title":"ASSORTATIVE MATING FOR FITNESS AND THE EVOLUTION OF RECOMBINATION","year":2006,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Assortative mating; Biology; Recombination; Mating; Evolutionary biology; Selection (genetic algorithm); Linkage (software); Genetic Fitness; Mutation; Genetics; Biological evolution; Gene; Machine learning","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":[0.0003496038,0.00006719634,0.00008195138,0.00003001493,0.0001017422,0.000007221697,0.00005226553,0.00007475327,0.000001775497],"category_scores_gemma":[0.0001340449,0.00005477606,0.00004925258,0.00007002296,0.0001282277,0.000004259903,0.00002271885,0.00002966484,6.785725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005104301,"about_ca_system_score_gemma":0.000037816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000186386,"about_ca_topic_score_gemma":0.0002044456,"domain_scores_codex":[0.9994333,0.00006528023,0.0001828604,0.0001435074,0.00007626418,0.00009876944],"domain_scores_gemma":[0.9995565,0.00002564974,0.0001409334,0.0001088219,0.0001560041,0.00001205484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006723874,0.0001635881,0.0213889,0.0001249895,0.00007791667,8.852489e-8,0.0002200719,0.009246901,0.30049,0.6605084,0.004081326,0.003025396],"study_design_scores_gemma":[0.009038425,0.0005212741,0.5699037,0.00005416429,0.0001261322,0.00001553297,0.001294941,0.2355805,0.01179207,0.168462,0.002764384,0.0004469545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5951316,0.0009210565,0.4021562,0.0002342145,0.0001198234,0.0003395993,0.00002091745,0.000008523496,0.001068017],"genre_scores_gemma":[0.9968448,0.00001354892,0.002020039,0.0000122027,0.00008752515,0.00004104443,0.0001232982,0.000007378407,0.000850116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5485148,"threshold_uncertainty_score":0.2233703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003307408277442299,"score_gpt":0.2274475049656831,"score_spread":0.2241400966882408,"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."}}