{"id":"W4366827605","doi":"10.3390/w15091636","title":"Monitoring Adenosine Triphosphate Concentrations in a Chloraminated Drinking Water Distribution System for Risk and Asset Management","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada)","funders":"","keywords":"Water quality; Adenosine triphosphate; Environmental science; Asset (computer security); Water treatment; Water resource management; Environmental engineering; Chemistry; Computer science; Ecology; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000236573,0.0001818774,0.0002169065,0.000385077,0.000395437,0.0005604767,0.0002268958,0.0002786586,0.000239418],"category_scores_gemma":[0.000416535,0.0001204345,0.0001410172,0.0005688767,0.0002194776,0.0003108214,0.0002881959,0.0002194839,0.00009572769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005554002,"about_ca_system_score_gemma":0.0003794821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114241,"about_ca_topic_score_gemma":0.02320592,"domain_scores_codex":[0.9996749,0.00006252965,0.00001964204,0.00008360756,0.0001311305,0.00002818889],"domain_scores_gemma":[0.9996719,0.00006998762,0.00009046738,0.00001837509,0.0001288332,0.00002046011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000411479,0.000345911,0.3427328,0.0001296636,0.00007513712,0.0002958158,0.00109563,0.00458374,0.6212927,0.00005984892,0.000149438,0.02882779],"study_design_scores_gemma":[0.0000168527,0.001408469,0.6869615,0.00001989703,0.0001098063,0.0002555298,0.00171918,0.02834427,0.2792238,0.0001292783,0.001767136,0.00004432599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985223,0.00002586394,0.001066908,0.00001080714,0.000001180127,0.00001421015,0.0001027113,0.00001230319,0.0002437094],"genre_scores_gemma":[0.9978271,0.00003664462,0.001754789,0.000009173841,0.000001117966,0.00001134446,0.0001228214,0.000003147457,0.0002338287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01114241,"threshold_uncertainty_score":0.02215511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008678173890027436,"score_gpt":0.2169418531312818,"score_spread":0.2082636792412543,"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."}}