{"id":"W4319017140","doi":"10.7717/peerj.14701","title":"Density regulation amplifies environmentally induced population fluctuations","year":2023,"lang":"en","type":"article","venue":"PeerJ","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Gompertz function; Population; Density dependence; Variance (accounting); Population model; Econometrics; Statistical physics; Mathematics; Stochastic modelling; Autoregressive model; Statistics; Physics; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003535423,0.00006366181,0.0001782846,0.00005162384,0.0001143585,0.000003060122,0.00002515203,0.0001190505,0.0008004155],"category_scores_gemma":[0.0005143917,0.00005101099,0.00005200361,0.00009592286,0.00006342227,0.00003764766,0.00002707483,0.00009638755,0.0008468828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002191382,"about_ca_system_score_gemma":0.000006199058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001372945,"about_ca_topic_score_gemma":0.000006159023,"domain_scores_codex":[0.9994043,0.0000425138,0.0001790871,0.0001401702,0.00008970185,0.0001442677],"domain_scores_gemma":[0.9995324,0.0002160125,0.00003268888,0.0001368382,0.0000151062,0.00006695377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008160797,0.0001069325,0.04794134,0.00005679617,0.000053628,0.000008100477,0.0002541579,0.0001606908,0.01627401,0.9306453,0.001164934,0.003252537],"study_design_scores_gemma":[0.0001702011,0.00003952032,0.7171845,0.000008377564,0.00003269533,0.000009170034,0.00001938609,0.01504511,0.0004636584,0.2669343,0.00004960558,0.00004347362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825011,0.000003335444,0.008613396,0.004733411,0.00007262816,0.000154493,0.000001636753,0.000126143,0.003793871],"genre_scores_gemma":[0.9971073,0.000005286151,0.0004630145,0.000455048,0.00005927864,0.00001583442,0.0001630179,0.000005995912,0.001725188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6692432,"threshold_uncertainty_score":0.9999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620935820683463,"score_gpt":0.309003538513268,"score_spread":0.2627941803064333,"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."}}