{"id":"W4408019137","doi":"10.1016/j.buildenv.2025.112803","title":"Ten questions concerning water quality in building hot water systems","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"National Science Foundation","keywords":"Water quality; Environmental science; Quality (philosophy); Civil engineering; Architectural engineering; Environmental engineering; Engineering; Physics","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":[0.0004119484,0.0001621045,0.000169109,0.00006298221,0.0002128172,0.0000708881,0.00007539665,0.00007263019,0.000228863],"category_scores_gemma":[0.000005000295,0.0001051667,0.00003542858,0.00004300772,0.0001019051,0.000164007,0.000213297,0.00009697494,0.0001302662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512891,"about_ca_system_score_gemma":0.000001565155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708741,"about_ca_topic_score_gemma":0.00002093005,"domain_scores_codex":[0.998775,0.00009316393,0.0002551466,0.000383135,0.0001498502,0.0003436995],"domain_scores_gemma":[0.9997133,0.00002523852,0.00002424865,0.0001756319,9.964685e-7,0.00006056316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003227998,0.0001539393,0.6544768,0.00003457344,0.00002912702,0.00001015088,0.0008560882,0.03512701,0.3042296,0.0006633136,0.0001324815,0.004254636],"study_design_scores_gemma":[0.002326146,0.0001356692,0.7570136,0.0002518152,0.0001095959,0.00001704656,0.0004767919,0.00454359,0.1679977,0.003220732,0.06306171,0.0008456879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947492,0.0001323656,0.002231503,0.0003677043,0.000158289,0.0002023311,0.000001787794,0.00004400755,0.002112823],"genre_scores_gemma":[0.9976838,0.0000755859,0.0004686155,0.00005347653,0.00002340796,0.0000588896,0.000009971571,0.000009181474,0.001617022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362319,"threshold_uncertainty_score":0.4288575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459569063598204,"score_gpt":0.2516294488300939,"score_spread":0.2370337581941118,"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."}}