{"id":"W4413397385","doi":"10.1287/mnsc.2023.02958","title":"Mass Vaccination Scheduling: Trading Off Infections, Throughput, and Overtime","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overtime; Vaccination; Scheduling (production processes); Throughput; Computer science; Mass vaccination; Operations research; Business; Operations management; Economics; Medicine; Virology; Labour economics; Mathematics; Telecommunications","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":[0.002841069,0.000785755,0.0009606233,0.0005621872,0.000597365,0.001213431,0.0009076531,0.001148266,0.003414386],"category_scores_gemma":[0.008770689,0.0004020758,0.0004673612,0.0006009603,0.0005914662,0.001274851,0.0008371953,0.001046036,0.0002616454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889487,"about_ca_system_score_gemma":0.00301329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152855,"about_ca_topic_score_gemma":0.005500469,"domain_scores_codex":[0.9989152,0.0005133299,0.00003310802,0.0001635347,0.000121653,0.000253191],"domain_scores_gemma":[0.99714,0.002004284,0.0003404275,0.0001023221,0.0001315743,0.0002813948],"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":[0.000262401,0.0002253743,0.00353708,0.00009217363,0.0000464177,0.00007828719,0.0001037396,0.9376456,0.002066809,0.02071494,0.001769016,0.03345817],"study_design_scores_gemma":[0.00004482905,0.0002082359,0.001007465,0.00001679312,0.00001947086,0.00003746018,0.00008266149,0.9824857,0.0009555115,0.01431774,0.0008125644,0.00001157895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.35572,0.0006448802,0.6277171,0.002402083,0.0001451878,0.0002818348,0.0003278952,0.0002902166,0.01247087],"genre_scores_gemma":[0.9285125,0.0002332388,0.06826567,0.0001415113,0.0000540383,0.00009895411,0.00007491993,0.00004585606,0.002573333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006152855,"threshold_uncertainty_score":0.0150252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532835192042641,"score_gpt":0.4111560321825752,"score_spread":0.3758276802621487,"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."}}