{"id":"W2017734282","doi":"10.1086/505155","title":"Chaotic Dynamics Can Select for Long‐Term Dormancy","year":2006,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dormancy; Chaotic; Population; Biology; Variance (accounting); Range (aeronautics); Term (time); Ecology; Dynamics (music); Botany; Computer science; Physics; Economics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008468325,0.0001142999,0.0001490043,0.00001275214,0.0003498219,0.00001353489,0.0002455254,0.0000217691,0.0001263989],"category_scores_gemma":[0.00001120817,0.00007344435,0.00006062854,0.0002138448,0.0008434377,0.00004121397,0.00009652413,0.0001197815,0.00009131429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778953,"about_ca_system_score_gemma":0.000005199516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003331569,"about_ca_topic_score_gemma":0.02076693,"domain_scores_codex":[0.9993047,0.00002696473,0.0001075362,0.0001828294,0.00009467627,0.0002832658],"domain_scores_gemma":[0.9996372,0.00006984702,0.0001073165,0.0001546917,0.000007392943,0.00002354957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000646592,0.00006242166,0.9825354,0.000004379491,0.00001591086,0.000006922086,0.0001139471,0.00005441329,0.0006133872,0.0005086883,0.008678734,0.007341172],"study_design_scores_gemma":[0.0001097991,0.000100199,0.9986255,0.000001589338,0.0000374986,0.00001176464,0.00005646167,0.0001729321,0.00009389788,0.0001757864,0.0004928246,0.0001217429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953098,0.0000430351,0.00005415496,0.002532572,0.0000820859,0.0002062162,0.00002302793,0.00004135063,0.001707749],"genre_scores_gemma":[0.9963303,0.00001390158,0.0001505158,0.0006689996,0.00006281953,0.00003281695,0.00002575005,0.00001041368,0.002704546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01743536,"threshold_uncertainty_score":0.9971015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006668070429667899,"score_gpt":0.2479194143662539,"score_spread":0.241251343936586,"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."}}