{"id":"W640527754","doi":"10.1371/journal.pcbi.1004291","title":"Disease Interventions Can Interfere with One Another through Disease-Behaviour Interactions","year":2015,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychological intervention; Vaccination; Disease; Population; Medicine; Intervention (counseling); Transmission (telecommunications); Environmental health; Intensive care medicine; Risk analysis (engineering); Immunology; Computer science; Psychiatry","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":[0.002329989,0.0008672944,0.0009135354,0.0006096367,0.000601532,0.002000474,0.0009461882,0.001701937,0.007242867],"category_scores_gemma":[0.01092467,0.0006479933,0.001232209,0.0005690801,0.001605077,0.002774585,0.001869746,0.001179502,0.0005095597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525054,"about_ca_system_score_gemma":0.001167537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005846129,"about_ca_topic_score_gemma":0.004523091,"domain_scores_codex":[0.9968473,0.002114211,0.0001149083,0.0003788633,0.0002049701,0.0003396462],"domain_scores_gemma":[0.9925707,0.005678793,0.0008846154,0.0003689826,0.0002038844,0.0002931092],"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":[0.0004621271,0.001186328,0.05936775,0.0007144051,0.0009561037,0.0008009859,0.001898826,0.7055043,0.006800642,0.1838957,0.001681603,0.03673112],"study_design_scores_gemma":[0.0004146467,0.001392598,0.02726017,0.0001494966,0.0005856904,0.0003692533,0.001145425,0.754352,0.001553332,0.1990634,0.01355201,0.0001619376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443296,0.001190015,0.1927867,0.004286007,0.0002063679,0.0005100286,0.0007876255,0.0003153044,0.05558831],"genre_scores_gemma":[0.9899433,0.0004141858,0.005889095,0.0002761279,0.00002629535,0.0002240312,0.00008804316,0.00001899071,0.003120011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007242867,"threshold_uncertainty_score":0.02422976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5247352002499197,"score_gpt":0.4670651611330982,"score_spread":0.0576700391168215,"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."}}