{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004300275,0.0007237914,0.0005220362,0.0006030555,0.0004239001,0.0003375217,0.0007276956,0.000598721,0.001755224],"category_scores_gemma":[0.0004237627,0.0002576758,0.0004008963,0.0004208552,0.000198816,0.0003015395,0.0003722436,0.0003259087,0.001220998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389591,"about_ca_system_score_gemma":0.0006264891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002815,"about_ca_topic_score_gemma":0.0009311421,"domain_scores_codex":[0.9995174,0.00006610477,0.00003566479,0.0001254711,0.0002037794,0.00005164108],"domain_scores_gemma":[0.9996829,0.00007010121,0.00006252353,0.00003966525,0.0001016514,0.00004310453],"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":[0.00004204783,0.00005483412,0.001353711,0.00006289683,0.000005683163,0.0000273105,0.00003755534,0.00008270473,0.9934455,0.00006877366,0.0001933512,0.004625642],"study_design_scores_gemma":[0.00001388798,0.0004949794,0.007319819,0.00001209037,0.00003156956,0.0001684597,0.00002608838,0.001684006,0.983961,0.00004227135,0.006228228,0.00001762999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6868384,0.0005325995,0.3011067,0.000247585,0.0001079148,0.002112377,0.002812978,0.004403319,0.001838131],"genre_scores_gemma":[0.6850667,0.0005997946,0.2996772,0.0005569592,0.00008426679,0.00216131,0.003298623,0.0001979884,0.008357185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001755224,"threshold_uncertainty_score":0.005871832,"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."}}