{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005066283,0.0001791711,0.0004634621,0.00003722937,0.0001086346,0.00007689851,0.0001683479,0.00009379486,0.00006127821],"category_scores_gemma":[0.001664104,0.0001339514,0.00004729307,0.0003886003,0.00002480226,0.0001440772,0.00004358834,0.0003228943,0.000001267922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249655,"about_ca_system_score_gemma":0.0004471708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005755811,"about_ca_topic_score_gemma":0.0001818574,"domain_scores_codex":[0.9983472,0.00003371694,0.0006607092,0.0002342695,0.0004791115,0.000244956],"domain_scores_gemma":[0.9976795,0.0006514194,0.0005624312,0.0002185125,0.0007497923,0.0001383168],"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":[0.003303945,0.003223075,0.005379846,0.01035832,0.0006256475,0.0001306899,0.001967907,0.00134139,0.004741762,0.9348623,0.001525436,0.03253968],"study_design_scores_gemma":[0.0008293255,0.0002023905,0.0002656594,0.0001773203,0.0001544644,0.00008600776,0.0003546101,0.006494981,0.001761221,0.9893974,0.00005387312,0.0002227227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3182805,0.00005397373,0.6799147,0.0002355172,0.00007015407,0.0002746864,0.00003923501,0.00003391739,0.001097343],"genre_scores_gemma":[0.8427306,0.000009263576,0.1570984,0.00004051292,0.00004051632,0.000009319545,0.00001907305,0.00002355923,0.00002869967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5244502,"threshold_uncertainty_score":0.5462381,"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."}}