{"id":"W2273202517","doi":"10.2166/aqua.2002.0041","title":"Seasonal variations in the disinfection by-product precursor profile of a reservoir water","year":2002,"lang":"en","type":"article","venue":"Journal of Water Supply Research and Technology—AQUA","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Service (business); Asset (computer security); Library science; History; Management; Operations research; Business; Engineering; Computer science; Marketing; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281491,0.0001276497,0.0002630998,0.0008710357,0.0003138907,0.0007579608,0.0001949361,0.0003070875,0.002717137],"category_scores_gemma":[0.0007850889,0.0001239491,0.0002488505,0.001287979,0.0001247198,0.0004719088,0.0002783145,0.0001947594,0.001136012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738922,"about_ca_system_score_gemma":0.0005386187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878268,"about_ca_topic_score_gemma":0.03248778,"domain_scores_codex":[0.9997433,0.00002760257,0.0000227974,0.00004587576,0.0001374345,0.00002304271],"domain_scores_gemma":[0.9994065,0.00007877678,0.0001045086,0.00001792199,0.0003591194,0.00003325889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003001571,0.000283461,0.4613107,0.001250037,0.0002271587,0.001341399,0.002229578,0.002037155,0.2069968,0.0005678067,0.03081389,0.2899404],"study_design_scores_gemma":[0.00002329521,0.0006952707,0.9375975,0.00005082464,0.00007220124,0.0002839048,0.001208916,0.001296879,0.02662372,0.0001422387,0.03195837,0.00004677914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731343,0.001691757,0.0007082297,0.0004665739,0.00006174972,0.0000885101,0.004985258,0.000107521,0.01875616],"genre_scores_gemma":[0.979268,0.002252793,0.0009745531,0.0001554021,0.00002360202,0.00005226917,0.005399563,0.00006483338,0.01180911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01878268,"threshold_uncertainty_score":0.03734672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277384100802906,"score_gpt":0.2656576284124039,"score_spread":0.2428837874043749,"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."}}