{"id":"W2088815298","doi":"10.1007/s00477-007-0171-9","title":"Quantitative microbial risk assessment: uncertainty and measures of central tendency for skewed distributions","year":2007,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Victoria Park","funders":"Australian Research Council","keywords":"Statistics; Mathematics; Geometric mean; Risk assessment; Probability density function; Monte Carlo method; Applied mathematics; Econometrics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.003435762,0.00020902,0.0002580272,0.00008606599,0.0007641747,0.00005711401,0.000174818,0.00009786405,0.0001774472],"category_scores_gemma":[0.0002607069,0.0001737646,0.00007371243,0.0001468593,0.001480505,0.0002018509,0.0003172866,0.0004669668,0.000007137884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006085029,"about_ca_system_score_gemma":0.00004172549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322267,"about_ca_topic_score_gemma":0.0007628198,"domain_scores_codex":[0.9970907,0.0003739807,0.000437834,0.0005380192,0.0008386164,0.000720879],"domain_scores_gemma":[0.9982216,0.0009820143,0.0001888129,0.0002161168,0.00002724057,0.0003641817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185531,0.002618877,0.8190064,0.0001055103,0.0003272016,0.00001191774,0.002240075,0.001120079,0.07136743,0.01641157,0.0005662175,0.08503912],"study_design_scores_gemma":[0.001562739,0.001445322,0.9781384,0.00002364191,0.00005995679,0.000003612066,0.001940395,0.005400606,0.001099789,0.009653845,0.0004352994,0.0002364143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7144704,0.00008451172,0.2830795,0.0001202953,0.00005701528,0.0008194347,0.0009998728,0.00001073545,0.0003582104],"genre_scores_gemma":[0.9911453,0.0004267443,0.008034118,0.00001006356,0.00002631743,0.0000579793,0.0001273279,0.00001461054,0.0001576103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2766749,"threshold_uncertainty_score":0.7085916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793190941340469,"score_gpt":0.3746073490852359,"score_spread":0.3266754396718312,"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."}}