{"id":"W2610632796","doi":"10.1111/ele.12789","title":"Moving forward in circles: challenges and opportunities in modelling population cycles","year":2017,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Trent University; University of Calgary; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; Agence Nationale de la Recherche; National Science Foundation","keywords":"Ecology; Population; Population cycle; Ecological systems theory; Population ecology; Multitude; Pairwise comparison; Resource (disambiguation); Environmental resource management; Biology; Computer science; Environmental science; Demography; Sociology","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":[0.00336789,0.00147517,0.002243825,0.002014057,0.0006175237,0.002759303,0.004317177,0.003838897,0.004221832],"category_scores_gemma":[0.007404661,0.0006111486,0.001140139,0.002894351,0.003148236,0.007065855,0.001943769,0.005450218,0.003529246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869558,"about_ca_system_score_gemma":0.002843603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00486626,"about_ca_topic_score_gemma":0.004254496,"domain_scores_codex":[0.9991701,0.0003489917,0.00007875567,0.0001364277,0.0002259878,0.00003986681],"domain_scores_gemma":[0.9953745,0.003403901,0.0002320142,0.0002377803,0.0005475321,0.0002044156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003640729,0.00004468353,0.0005853027,0.01131592,0.0002039367,0.0002452967,0.000404998,0.01064817,0.0003480063,0.1727897,0.07175784,0.7316198],"study_design_scores_gemma":[0.0000113013,0.0000294879,0.0003299386,0.004729933,0.00006587926,0.000379492,0.0001897904,0.002677004,0.0001485338,0.1157866,0.8755955,0.00005672835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001654375,0.9849303,0.005952958,0.005400648,0.001107024,0.000009588638,0.00004097456,0.00004999801,0.002343078],"genre_scores_gemma":[0.002143225,0.9901853,0.003980584,0.001294714,0.001278878,0.00002377636,0.00006230504,0.00002681943,0.001004502],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00486626,"threshold_uncertainty_score":0.0178113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135350883177896,"score_gpt":0.3274870744328024,"score_spread":0.2139519861150128,"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."}}