{"id":"W3174783737","doi":"10.1017/jpr.2020.102","title":"Population dynamics driven by truncated stable processes with Markovian switching","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ergodicity; Mathematics; Markov process; Statistical physics; Population; Dynamics (music); Markov chain; Applied mathematics; Focus (optics); Population model; Statistics; Physics","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":[0.0006947566,0.0003020277,0.0006363286,0.0006497827,0.0003453009,0.001044252,0.001174415,0.0006435193,0.00263656],"category_scores_gemma":[0.002582294,0.0001577404,0.0006224117,0.0003474269,0.001156173,0.00121937,0.0007441928,0.0006424237,0.0002070685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008570555,"about_ca_system_score_gemma":0.0005453471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025252,"about_ca_topic_score_gemma":0.001129282,"domain_scores_codex":[0.9996562,0.00008363765,0.00002359601,0.00006836645,0.00009689562,0.00007127152],"domain_scores_gemma":[0.9987005,0.0004617386,0.0003810172,0.000100746,0.0001982901,0.0001577065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002466215,0.000117773,0.004887798,0.00009902658,0.0000934881,0.0009287448,0.0003562838,0.534915,0.03014889,0.4177847,0.0008802556,0.009541393],"study_design_scores_gemma":[0.00001615589,0.0000358417,0.0006555559,0.000006537874,0.00001067342,0.00007660381,0.00003372283,0.9499884,0.0008666383,0.04807333,0.000223016,0.00001367278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8066582,0.0001672477,0.1862684,0.0003795623,0.00005183637,0.00004171658,0.0001660939,0.0001163955,0.006150529],"genre_scores_gemma":[0.9955,0.00007965396,0.00275796,0.00002449747,0.00001729053,0.00002512164,0.0000498564,0.000007265566,0.001538255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00263656,"threshold_uncertainty_score":0.008820117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777548162250291,"score_gpt":0.2602089807501234,"score_spread":0.2424334991276205,"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."}}