{"id":"W2121562054","doi":"10.1016/s1473-3099(04)01176-4","title":"Collateral damage: the unforeseen effects of emergency outbreak policies","year":2004,"lang":"en","type":"review","venue":"The Lancet Infectious Diseases","topic":"Disaster Response and Management","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Outbreak; Surprise; Confusion; Collateral damage; Control (management); Health care; Medicine; Medical emergency; Business; Psychology; Computer science; Economics; Economic growth; Virology; Criminology","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":[0.004223059,0.000915431,0.002027125,0.002944124,0.0007272291,0.003513318,0.001170256,0.003518624,0.00565648],"category_scores_gemma":[0.01069254,0.0004146686,0.0008569452,0.005255794,0.001820934,0.003850274,0.001538668,0.002393492,0.0006953713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002683709,"about_ca_system_score_gemma":0.008109943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009709022,"about_ca_topic_score_gemma":0.02188105,"domain_scores_codex":[0.998746,0.0004622551,0.0001095329,0.00009139825,0.0004862648,0.000104537],"domain_scores_gemma":[0.9905655,0.006921502,0.0012092,0.0001728847,0.00094406,0.0001867762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009137576,0.00005913768,0.0007190737,0.02088947,0.0002780402,0.0003382518,0.000421414,0.001124148,0.0001807626,0.01710155,0.04217001,0.9166268],"study_design_scores_gemma":[0.00007342314,0.0001479555,0.005446527,0.05525708,0.0005160702,0.001334724,0.001631902,0.0002848557,0.0003006034,0.02110173,0.9138357,0.0000693358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002227465,0.9946701,0.0001381585,0.003088998,0.0002394962,0.000004981966,0.00001807328,0.000003888322,0.001613524],"genre_scores_gemma":[0.002477337,0.9963369,0.00009759614,0.0005852248,0.0002141039,0.000005250638,0.000008961508,0.000001169111,0.0002734203],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009709022,"threshold_uncertainty_score":0.02233398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07645781026512682,"score_gpt":0.4509265235286222,"score_spread":0.3744687132634954,"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."}}