{"id":"W4225412207","doi":"10.1007/s11538-022-01020-8","title":"Effect of Human Mobility on the Spatial Spread of Airborne Diseases: An Epidemic Model with Indirect Transmission","year":2022,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; York University","funders":"York University","keywords":"Transmission (telecommunications); Epidemic model; Disease transmission; Geography; Virology; Biology; Computer science; Environmental health; Medicine; Telecommunications","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":[0.001671264,0.001455265,0.001768019,0.001379939,0.000868053,0.002113719,0.002040618,0.002611086,0.004551324],"category_scores_gemma":[0.009276161,0.0007377565,0.00172835,0.0009463649,0.00197712,0.002555004,0.001884142,0.001726393,0.0004523846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328909,"about_ca_system_score_gemma":0.001061846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724856,"about_ca_topic_score_gemma":0.007590337,"domain_scores_codex":[0.9990589,0.0005014907,0.00002693765,0.0001157214,0.00005539902,0.0002415958],"domain_scores_gemma":[0.9935647,0.004369256,0.0009584339,0.000238464,0.0003864862,0.0004826983],"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":[0.0008034203,0.0004918775,0.01477043,0.000253293,0.0004532151,0.001939655,0.0005259294,0.9014497,0.003740332,0.06482627,0.002177415,0.00856837],"study_design_scores_gemma":[0.0001912067,0.0003221649,0.004187369,0.0000366039,0.0003921196,0.0003134571,0.0001981071,0.9808679,0.0002298041,0.01279804,0.0003973936,0.00006581192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122375,0.001739285,0.06991833,0.003904597,0.0001889837,0.00008415762,0.0005269486,0.0001507443,0.01124946],"genre_scores_gemma":[0.9918257,0.0008036948,0.001481868,0.00007003632,0.00008401057,0.00002931143,0.00006092038,0.00001797341,0.005626367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01724856,"threshold_uncertainty_score":0.03429633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09319318773793346,"score_gpt":0.3808136675725057,"score_spread":0.2876204798345723,"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."}}