{"id":"W4398142280","doi":"10.1101/2024.05.19.24307585","title":"Leveraging regulatory monitoring data for quantitative microbial risk assessment of <i>Legionella pneumophila</i> in cooling towers","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Legionella pneumophila; Legionella; Environmental science; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00624596,0.0007703383,0.0004298118,0.001424666,0.0003952546,0.001326225,0.001126161,0.0006766653,0.0006140639],"category_scores_gemma":[0.009278746,0.0002593051,0.0006729093,0.001214069,0.0003874098,0.0006374591,0.0003638428,0.0004938022,0.0002200646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00538094,"about_ca_system_score_gemma":0.00435588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4376492,"about_ca_topic_score_gemma":0.3786584,"domain_scores_codex":[0.9973384,0.0009681483,0.00013265,0.0004058178,0.0009975212,0.0001574811],"domain_scores_gemma":[0.9922922,0.002670722,0.001334421,0.0006493237,0.002951274,0.0001020543],"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":[0.0001611726,0.0002301632,0.1787281,0.0002156603,0.0002016903,0.0001281189,0.0001059621,0.7604354,0.01809985,0.001136785,0.003384789,0.03717228],"study_design_scores_gemma":[0.00001838404,0.0001514709,0.05691923,0.00004101771,0.0000568056,0.00003952353,0.0000746472,0.9287728,0.01023978,0.0005278502,0.003106359,0.0000521362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479167,0.0007354766,0.1258914,0.0007592593,0.00003948849,0.0003323063,0.01621134,0.001481851,0.006632167],"genre_scores_gemma":[0.9791592,0.000129452,0.01569367,0.0001006227,0.000008646855,0.00005849012,0.004488898,0.000032644,0.0003283579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4376492,"threshold_uncertainty_score":0.8702036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08138160410656964,"score_gpt":0.3508022967140093,"score_spread":0.2694206926074397,"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."}}