{"id":"W3122693534","doi":"10.3390/bios11020034","title":"Water Sampling Module for Collecting and Concentrating Legionella pneumophila from Low-to-Medium Contaminated Environment","year":2021,"lang":"en","type":"article","venue":"Biosensors","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Magnus Chemicals (Canada); Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contamination; Legionella pneumophila; Legionella; Tap water; Environmental science; Backwashing; Filtration (mathematics); Pulp and paper industry; Environmental engineering; Bacteria; Engineering; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001281609,0.0001485035,0.0001595127,0.00002557018,0.0002104879,0.00005820638,0.00008148607,0.0001260377,0.00001296664],"category_scores_gemma":[0.0000991978,0.0001281428,0.00005841742,0.00004594638,0.00006270156,0.00000316095,0.0001502157,0.00007568833,0.00001207109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000242253,"about_ca_system_score_gemma":0.00004530581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003554927,"about_ca_topic_score_gemma":0.00001438048,"domain_scores_codex":[0.9987649,0.00004765566,0.0001884649,0.0004904826,0.0001243112,0.0003841776],"domain_scores_gemma":[0.9994949,0.0000503324,0.0000319965,0.0002031865,0.00006999537,0.0001496003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006538605,0.00003144214,0.001299153,0.00001775122,0.00004269631,0.00001300156,0.0001889629,0.00009881901,0.9975613,0.000007236427,0.0003245576,0.000349657],"study_design_scores_gemma":[0.000752302,0.0001024227,0.001293209,0.00002490438,0.00001256725,0.00001091848,0.0004279912,0.0003896481,0.9805151,0.00002695634,0.01624697,0.0001970669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997255,0.0002872522,0.0009557515,0.0009150552,0.0001362702,0.0002952188,0.00005701743,0.00001053772,0.00008789253],"genre_scores_gemma":[0.9962211,0.0001470298,0.001560644,0.0003276484,0.000345795,0.00002763788,0.0002768277,0.00002780191,0.001065473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170463,"threshold_uncertainty_score":0.522551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350607459689332,"score_gpt":0.2664956119812176,"score_spread":0.2429895373843243,"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."}}