{"id":"W4405700900","doi":"10.1186/s12963-024-00360-y","title":"Number needed to isolate - a new population health metric to quantify transmission reductions from isolation interventions for infectious diseases","year":2024,"lang":"en","type":"article","venue":"Population Health Metrics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Population; Metric (unit); Isolation (microbiology); Transmission (telecommunications); Psychological intervention; Number needed to treat; Herd immunity; Relative risk; Environmental health; Biology; Bioinformatics; Computer science; Confidence interval; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00171275,0.0003647534,0.0009303757,0.001868267,0.0008048695,0.0001645348,0.0001677348,0.0001761131,0.0001365376],"category_scores_gemma":[0.01152201,0.0003376725,0.000509373,0.006801242,0.00001133439,0.0003628259,0.00007213157,0.0002780053,0.00008513412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815648,"about_ca_system_score_gemma":0.0002151467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04022567,"about_ca_topic_score_gemma":0.001350786,"domain_scores_codex":[0.9955425,0.0005164025,0.001937736,0.0008608634,0.000498809,0.0006436593],"domain_scores_gemma":[0.9938424,0.004162784,0.0004935467,0.0004050598,0.0002034907,0.0008927633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003007295,0.0009289449,0.1842271,0.005213663,0.0003625723,0.00000138487,0.003875357,0.01136378,0.00002246035,0.06387649,0.2276259,0.5022016],"study_design_scores_gemma":[0.0009077528,0.001009664,0.6071713,0.00163554,0.0003015884,0.000004067731,0.0002582916,0.03651074,0.000004411611,0.3036081,0.04784653,0.0007420451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05276855,0.003258049,0.8790781,0.05934742,0.00125038,0.003229854,0.0002408749,0.0008157145,0.00001103605],"genre_scores_gemma":[0.8685216,0.0004301947,0.1229677,0.005761953,0.0006912732,0.0003616889,0.0008001877,0.00009329728,0.0003720993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8157531,"threshold_uncertainty_score":0.9999076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.372917806922528,"score_gpt":0.5418566362465193,"score_spread":0.1689388293239912,"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."}}