{"id":"W4397030266","doi":"10.1007/s11134-024-09909-y","title":"A diffusion model of dynamic participant inflow management","year":2024,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Inflow; Diffusion; Mathematics; Computer science; Mechanics; 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":[0.003338685,0.0008666827,0.001546059,0.001324616,0.001350991,0.00385877,0.003536621,0.003394176,0.009402303],"category_scores_gemma":[0.01098889,0.0009313182,0.001048708,0.00159673,0.002460178,0.006123292,0.001893588,0.002615355,0.001065256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004222046,"about_ca_system_score_gemma":0.003410459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784991,"about_ca_topic_score_gemma":0.007151739,"domain_scores_codex":[0.9986159,0.0004856166,0.00005998477,0.0003138212,0.0002640327,0.0002606139],"domain_scores_gemma":[0.9957421,0.002556253,0.0003187912,0.0002452705,0.0007157011,0.0004218113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000766812,0.00009249801,0.0009006048,0.00005100456,0.00003081993,0.0001965661,0.0003024838,0.2289123,0.001363858,0.7587609,0.003057244,0.006254997],"study_design_scores_gemma":[0.00002879749,0.00001866925,0.0001414022,0.000008941404,0.00001387279,0.00003537679,0.00004398688,0.8972777,0.0001240726,0.1012527,0.001031379,0.00002307826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09572584,0.0007329692,0.8724009,0.004638029,0.0003829974,0.0001495884,0.0005023571,0.0004031021,0.0250643],"genre_scores_gemma":[0.9188108,0.0009092175,0.03721637,0.0003824687,0.0002885485,0.000176002,0.0002238636,0.0001137753,0.04187889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01784991,"threshold_uncertainty_score":0.03549206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328968794590849,"score_gpt":0.2535594324793757,"score_spread":0.2302697445334672,"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."}}