{"id":"W3103840384","doi":"","title":"RESCALED LOTKA–VOLTERRA MODELS CONVERGE TO SUPER-BROWNIAN MOTION","year":2005,"lang":"en","type":"article","venue":"Syracuse University Libraries (Syracuse University)","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Brownian motion; Range (aeronautics); Sequence (biology); Volterra equations; Convergence (economics); Statistical physics; Geometric Brownian motion; Weak convergence; Mathematical analysis; Applied mathematics; Diffusion process; Nonlinear system; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002685634,0.0006503537,0.0008075609,0.001121119,0.0005163695,0.001293002,0.001633462,0.001017451,0.002962275],"category_scores_gemma":[0.01207168,0.000443528,0.001483776,0.0007700029,0.001786677,0.003419548,0.001874972,0.002143591,0.0004388012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153667,"about_ca_system_score_gemma":0.0006765649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071667,"about_ca_topic_score_gemma":0.001518311,"domain_scores_codex":[0.9989543,0.0004563753,0.00006212509,0.0001698245,0.0002449592,0.0001123924],"domain_scores_gemma":[0.9954125,0.002113374,0.0009242214,0.0007003323,0.0005837684,0.0002657087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003596363,0.00002218543,0.001427747,0.00006090236,0.00004771304,0.0001962182,0.0002131129,0.1899794,0.003283421,0.7990273,0.0006002845,0.00510574],"study_design_scores_gemma":[0.000006619599,0.0000251263,0.000491826,0.00001200376,0.000009626997,0.00007728412,0.00003234451,0.761871,0.000753294,0.2359131,0.0007895944,0.00001818473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3253296,0.0007294007,0.6621056,0.000987759,0.0001496159,0.00004074696,0.0001465889,0.0002179008,0.01029277],"genre_scores_gemma":[0.9504209,0.0006574955,0.04151145,0.0002573537,0.00009321624,0.0001125091,0.0001568626,0.00007261711,0.006717515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002962275,"threshold_uncertainty_score":0.01420319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256987316725506,"score_gpt":0.157313447495972,"score_spread":0.1247435743287169,"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."}}