{"id":"W2949838246","doi":"10.1101/022202","title":"How Competition Affects Evolutionary Rescue","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Competition (biology); Rescue therapy; Business; Computer science; Biology; Ecology; Medicine","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":[0.0005877911,0.0003377076,0.0004426503,0.000349387,0.0006599514,0.00112969,0.0008076998,0.001128685,0.004096029],"category_scores_gemma":[0.00217575,0.0001818769,0.0004422657,0.0002055628,0.0009321683,0.0009684482,0.001163675,0.0006760715,0.0003551595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008561364,"about_ca_system_score_gemma":0.0004649881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808105,"about_ca_topic_score_gemma":0.001207362,"domain_scores_codex":[0.9996204,0.0001209333,0.00001533027,0.00008347441,0.00007031798,0.0000894006],"domain_scores_gemma":[0.9990996,0.0003697925,0.0001517899,0.00008507905,0.0001117241,0.0001821402],"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":[0.0008458815,0.000450073,0.04883724,0.0003884278,0.0003193301,0.00233896,0.0005468971,0.3319471,0.4013597,0.1740572,0.005570228,0.03333901],"study_design_scores_gemma":[0.00014409,0.0007079585,0.03045089,0.00004110457,0.0001285181,0.001376029,0.0006976679,0.8370352,0.02527547,0.09827675,0.00571365,0.0001526563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811667,0.0002036449,0.009749623,0.00111192,0.0000366227,0.00000724934,0.00007512655,0.00004952098,0.007599578],"genre_scores_gemma":[0.9987618,0.00002992575,0.0005830758,0.00008130288,0.000003697224,0.000004096199,0.00001917225,0.000009174671,0.0005077618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004096029,"threshold_uncertainty_score":0.01370257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011230550764369,"score_gpt":0.2153522858727066,"score_spread":0.2052399803650629,"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."}}