{"id":"W1944568430","doi":"10.1101/003491","title":"Response to a population bottleneck can be used to infer recessive selection","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Bottleneck; Selection (genetic algorithm); Population; Computer science; Evolutionary biology; Biology; Genetics; Artificial intelligence; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003604017,0.0004671038,0.0005801683,0.001559068,0.0003905722,0.0007980467,0.0006346082,0.0006135452,0.001857524],"category_scores_gemma":[0.0107693,0.0001933165,0.0005024902,0.0006032595,0.0009439766,0.0007595837,0.0008358542,0.0009065002,0.0003385065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227736,"about_ca_system_score_gemma":0.0003874826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005948591,"about_ca_topic_score_gemma":0.0004158847,"domain_scores_codex":[0.9986662,0.0005301195,0.0000960468,0.0003614582,0.0002488349,0.00009739079],"domain_scores_gemma":[0.9893289,0.007646486,0.001368285,0.0007134231,0.000429855,0.0005130013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001287731,0.0002657913,0.166088,0.0002459437,0.0006202768,0.0004411961,0.000298643,0.01336966,0.7623459,0.008611654,0.0008987243,0.04552643],"study_design_scores_gemma":[0.0001272099,0.00164971,0.5032985,0.00004848633,0.0003319565,0.001776643,0.0005370237,0.173762,0.29182,0.02309877,0.003325657,0.0002240119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024453,0.0001996046,0.09357879,0.000174326,0.00003024863,0.00002812615,0.0007453541,0.0009642473,0.001834045],"genre_scores_gemma":[0.9905087,0.00004310768,0.008715461,0.00007046891,0.000009285902,0.00003257627,0.0003222917,0.00009723744,0.0002008104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003604017,"threshold_uncertainty_score":0.01906013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085640621366473,"score_gpt":0.2467118004262248,"score_spread":0.23585539421256,"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."}}