{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002599008,0.0002077567,0.0005535154,0.000200216,0.0000505373,0.00001545819,0.0001708008,0.0004061504,0.000001993411],"category_scores_gemma":[0.00002979358,0.0002248201,0.00009346131,0.00001482321,0.00008541506,0.000004753962,0.0001144554,0.0001791248,0.000001817157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005116086,"about_ca_system_score_gemma":0.00005300927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003662764,"about_ca_topic_score_gemma":0.001768942,"domain_scores_codex":[0.9988544,0.0001432048,0.0003382817,0.000376624,0.00004699318,0.0002404796],"domain_scores_gemma":[0.9994565,0.00002562869,0.0001981048,0.0002712585,0.000009146766,0.00003941803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006880993,0.00003502347,0.0009326441,0.002319251,0.0000785908,0.00004072096,0.0001054509,0.00244821,0.00001067272,0.0002270623,0.0000701873,0.9937253],"study_design_scores_gemma":[0.001279228,0.0001966938,0.0241757,0.004686239,0.000301046,0.0001552618,0.0002990574,0.01009398,0.000001051816,0.0005936378,0.956471,0.001747097],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01204906,0.9866912,0.0002152736,0.0004496522,0.000143122,0.0002526023,0.000008864892,0.000006151668,0.0001840305],"genre_scores_gemma":[0.0084634,0.9906492,0.0002210502,0.0002034701,0.00008711815,0.00004317923,0.0002413527,0.00002712499,0.00006409322],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9919782,"threshold_uncertainty_score":0.9167897,"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."}}