{"id":"W4225384249","doi":"10.3390/healthcare10050843","title":"Simulating a Hockey Hub COVID-19 Mass Vaccination Facility","year":2022,"lang":"en","type":"article","venue":"Healthcare","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Vaccination; Mass vaccination; Coronavirus disease 2019 (COVID-19); Computer science; Duration (music); Process (computing); Medicine; Simulation; Virology; Disease; Infectious disease (medical specialty); Operating system; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00049584,0.0005445098,0.0003493918,0.0003963662,0.0005994955,0.0006487531,0.001068861,0.001019747,0.006830832],"category_scores_gemma":[0.001429592,0.0002612222,0.0004927292,0.0004480798,0.0005506696,0.000462304,0.0006718091,0.0005447898,0.0003549566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467963,"about_ca_system_score_gemma":0.001948125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03452838,"about_ca_topic_score_gemma":0.02256114,"domain_scores_codex":[0.9996899,0.0001087197,0.00001011475,0.0000395404,0.00003183994,0.0001199366],"domain_scores_gemma":[0.9987472,0.0007534752,0.0001124012,0.00007345235,0.0001247026,0.0001887162],"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":[0.0001113112,0.0001040332,0.002392115,0.00002158151,0.00001116861,0.00009546849,0.00006565246,0.9928783,0.0006087962,0.001504849,0.000376683,0.001830092],"study_design_scores_gemma":[0.00005534033,0.0002070627,0.001383373,0.000008846999,0.00001094886,0.00002314217,0.0002141055,0.9962932,0.0005634903,0.0004937936,0.0007370931,0.000009553915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630218,0.00005211994,0.01914393,0.0001968313,0.00004358573,0.0001864585,0.000890547,0.0001701992,0.0162945],"genre_scores_gemma":[0.9906652,0.00005520548,0.005977526,0.00003107252,0.000004590773,0.00009530749,0.0002862656,0.00001297498,0.002871826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03452838,"threshold_uncertainty_score":0.06865478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650698867599872,"score_gpt":0.4879098964732001,"score_spread":0.3228400097132129,"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."}}