{"id":"W2129441270","doi":"10.1186/1742-5573-7-8","title":"Population attributable fraction: comparison of two mathematical procedures to estimate the annual attributable number of deaths","year":2010,"lang":"en","type":"article","venue":"Epidemiologic Perspectives & Innovations","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Public Health Ontario; University of Toronto; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Attributable risk; Fraction (chemistry); Statistics; Population; Mathematics; 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"],"consensus_categories":[],"category_scores_codex":[0.004138207,0.0001905352,0.0006820052,0.0001827056,0.0008157545,0.00003738392,0.0004531068,0.0001486309,0.0004211199],"category_scores_gemma":[0.008811667,0.0001453576,0.0001372806,0.002046187,0.0006402324,0.0003765513,0.0001108354,0.0004343155,0.00003711112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212809,"about_ca_system_score_gemma":0.0001239483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035906,"about_ca_topic_score_gemma":0.001851753,"domain_scores_codex":[0.9973305,0.0004149806,0.0009454598,0.0003807128,0.0004759268,0.0004523706],"domain_scores_gemma":[0.9965002,0.001095162,0.0006682625,0.0004362773,0.001226933,0.00007314792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009077423,0.0002487986,0.4538713,0.00001594589,0.0000391378,1.665363e-7,0.003663071,0.0006851461,0.00011597,0.5396188,0.001575062,0.0001574744],"study_design_scores_gemma":[0.0001852527,0.00005928571,0.7837082,0.00003449132,0.00005506604,0.000002066663,0.02184646,0.0003972213,0.00009984754,0.191033,0.002380101,0.0001989846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952261,0.00008274394,0.01754602,0.005828817,0.0002809462,0.0009500459,0.0000944622,0.0001212542,0.02283476],"genre_scores_gemma":[0.9768938,0.00001388402,0.02239068,0.0001273326,0.0002017279,0.0001226838,0.00002995792,0.00001153224,0.0002083443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3485858,"threshold_uncertainty_score":0.9995375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832235422932598,"score_gpt":0.4610671162361549,"score_spread":0.4127447620068289,"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."}}