{"id":"W4283732199","doi":"10.1101/2022.06.28.22277022","title":"<i>Legionella pneumophila</i> occurrence in reduced-occupancy buildings in 11 cities during the COVID-19 pandemic","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; University of Pittsburgh; Arizona State University; University of Michigan; Purdue University; National Science Foundation","keywords":"Legionella pneumophila; Legionella; Occupancy; Pandemic; Coronavirus disease 2019 (COVID-19); Outbreak; Environmental science; Geography; Environmental health; Environmental engineering; Biology; Medicine; Virology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001179756,0.0003950559,0.0003897761,0.0002773188,0.0002317385,0.00007421779,0.001394851,0.0003604042,0.0000458581],"category_scores_gemma":[0.00046808,0.0003397957,0.0001902332,0.000392537,0.0002972521,0.000005604045,0.002528679,0.001405095,0.000005885435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472851,"about_ca_system_score_gemma":0.0007741566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036114,"about_ca_topic_score_gemma":0.0008161591,"domain_scores_codex":[0.9968204,0.0004092387,0.000543304,0.001084595,0.0004583746,0.0006840156],"domain_scores_gemma":[0.9984747,0.00009108264,0.0001997165,0.001003473,0.00004777938,0.0001832482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000127429,0.0000719441,0.8834852,0.0003196688,0.00002170151,0.0001299685,0.0005813366,0.001456297,0.1122136,0.00004026608,0.001475519,0.00007705733],"study_design_scores_gemma":[0.005634578,0.0003576711,0.4212238,0.0005815689,0.00007295761,0.0007000522,0.00337061,0.0002674041,0.06482955,0.003500579,0.4955698,0.003891385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938928,0.002549355,0.00001661654,0.001864646,0.0005364845,0.0006049605,0.0001450258,0.00003203868,0.000358012],"genre_scores_gemma":[0.992988,0.004606217,0.0000186722,0.0007347119,0.0002999512,0.0004142475,0.000210631,0.00003781396,0.0006897126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940943,"threshold_uncertainty_score":0.9999054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0440410118272964,"score_gpt":0.3239365931999748,"score_spread":0.2798955813726783,"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."}}