{"id":"W2069253286","doi":"10.1038/nature04646","title":"Frequency-dependent survival in natural guppy populations","year":2006,"lang":"en","type":"article","venue":"Nature","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":257,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Guppy; Natural selection; Biology; Poecilia; Selection (genetic algorithm); Evolutionary biology; Frequency-dependent selection; Genetic variation; Mechanism (biology); Genetic drift; Genetic diversity; Population; Zoology; Genetics; Gene; Fish <Actinopterygii>; Demography","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":[0.0001079967,0.0000771657,0.00007853273,0.00003196136,0.000103671,0.000007990485,0.0001310027,0.0002820373,0.0008134689],"category_scores_gemma":[0.00002534612,0.00006867023,0.00002271845,0.0001653499,0.00005419067,0.0001226334,0.0001145348,0.0007159024,0.0002065961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010932,"about_ca_system_score_gemma":0.00000184784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006298753,"about_ca_topic_score_gemma":0.07669547,"domain_scores_codex":[0.9993566,0.00002539574,0.0001005068,0.0001828186,0.0001536299,0.0001810163],"domain_scores_gemma":[0.9998341,0.0000169209,0.00002671219,0.0001071932,0.000003111506,0.0000119504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002305977,0.00004168393,0.9356925,0.000001561255,0.000002927186,0.00001596613,0.00002025911,0.0002738563,0.0001363084,0.007765339,0.05595836,0.00008885163],"study_design_scores_gemma":[0.0001752196,0.000005363795,0.9837663,0.000001699301,0.000004198735,8.496229e-7,0.00002456618,0.00004113251,0.00002495426,0.01268145,0.003192634,0.00008165432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817042,0.0001857211,0.00001624031,0.004027317,0.0009937104,0.0001687957,0.000004881089,0.00005040891,0.1775109],"genre_scores_gemma":[0.993797,0.000005847188,0.0005245059,0.0008152312,0.00004756204,0.00001051003,0.00001835077,0.000004500189,0.004776503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.176755,"threshold_uncertainty_score":0.9401524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00692755326198074,"score_gpt":0.2345198959139919,"score_spread":0.2275923426520111,"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."}}