{"id":"W4399709215","doi":"10.1016/j.jtbi.2024.111875","title":"Evaluating infectious disease outbreak potential and mitigation effectiveness on cruise ships","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Travel-related health issues","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Toronto Metropolitan University; Response Biomedical (Canada); University of Guelph; Public Health Ontario; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cruise; Outbreak; Crew; Population; Environmental health; Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Medicine; Infectious disease (medical specialty); Aeronautics; Disease; Engineering; Virology","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":[0.001642387,0.0007620262,0.0006098967,0.0004749394,0.0002926753,0.001097701,0.001043987,0.001173824,0.002233014],"category_scores_gemma":[0.006830454,0.0003079523,0.0007753264,0.0002968569,0.0004852224,0.001373119,0.0007405095,0.0008592059,0.0001420404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789403,"about_ca_system_score_gemma":0.001647784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03740463,"about_ca_topic_score_gemma":0.01673975,"domain_scores_codex":[0.9994418,0.0002992336,0.00001805951,0.00008357595,0.00004535243,0.0001118653],"domain_scores_gemma":[0.9969689,0.002188306,0.000366155,0.00009815477,0.0002260575,0.0001524214],"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":[0.0001155377,0.0001098718,0.01132693,0.00004933508,0.00006154371,0.00007157239,0.00003091223,0.9838252,0.0004349036,0.001471453,0.0001814643,0.002321407],"study_design_scores_gemma":[0.00003320944,0.000523929,0.01053922,0.00002182965,0.00007176476,0.00002358466,0.0002472961,0.9859651,0.0004506766,0.00176693,0.0003374002,0.00001908835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869484,0.0002603036,0.007730538,0.0005256252,0.00002190621,0.00007142754,0.0004250691,0.00004602367,0.003970744],"genre_scores_gemma":[0.9976615,0.0001516271,0.001395754,0.00002732216,0.000005710624,0.00002980721,0.0002104734,0.000004384973,0.0005133806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03740463,"threshold_uncertainty_score":0.07437384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281959181349318,"score_gpt":0.3938641675512057,"score_spread":0.3710445757377125,"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."}}