{"id":"W2073701698","doi":"10.1139/f02-121","title":"Algal production and trihalomethane formation potential: an experimental assessment and inter-river comparison","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trihalomethane; Environmental science; Tributary; Algal bloom; Water quality; Water pollution; Hydrology (agriculture); Eutrophication; Chlorophyll a; Environmental chemistry; Environmental engineering; Water treatment; Ecology; Chemistry; Phytoplankton; Nutrient; Biology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002138225,0.00006772902,0.00009390364,0.00007287987,0.0002984865,0.0001964185,0.00004488533,0.00001959695,0.0002683692],"category_scores_gemma":[0.00001413856,0.00005129668,0.00001214463,0.00009009759,0.000530479,0.001300725,0.00001109136,0.00004074765,0.00000147074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000636202,"about_ca_system_score_gemma":0.00001316997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477756,"about_ca_topic_score_gemma":0.004009286,"domain_scores_codex":[0.9994444,0.00003803425,0.0001545662,0.000111763,0.0001295121,0.0001217481],"domain_scores_gemma":[0.9996527,0.000008934047,0.00009393579,0.00003285969,0.000004709463,0.0002069036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001245965,0.00009133363,0.890237,0.000009069441,0.00001320209,0.00001878149,0.01383457,0.00004730077,0.004481953,0.00004066163,0.002171017,0.08904263],"study_design_scores_gemma":[0.001478086,0.005114733,0.9040555,0.0001213605,0.0001102739,0.001403425,0.02466743,0.04969878,0.008270576,0.001766017,0.002770643,0.0005431749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978639,0.00030209,0.0002034385,0.0008261423,0.0001652102,0.00006570928,6.151705e-7,0.000002471252,0.0005703878],"genre_scores_gemma":[0.99866,0.00003763796,0.00117049,0.00003438551,0.00003004927,0.000001269747,7.139922e-7,0.000002053972,0.00006340734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08849945,"threshold_uncertainty_score":0.3745643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235427748765574,"score_gpt":0.2555052866045922,"score_spread":0.2231510091169364,"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."}}