{"id":"W2044271713","doi":"10.1016/s0269-7491(02)00433-5","title":"Distribution and fate of metals in the dispersion plume of a major municipal effluent","year":2003,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Effluent; Environmental chemistry; Particulates; Environmental science; Plume; Trace metal; Pollution; Water pollution; Contamination; Environmental engineering; Metal; Chemistry; Ecology; Biology","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":[0.0009007454,0.0001625168,0.000209889,0.00003052221,0.00007214759,0.000005085698,0.0001715608,0.00007733801,0.0006075658],"category_scores_gemma":[0.00004244,0.0001253946,0.00007489796,0.0001396689,0.0006561856,0.0001701312,0.0001325364,0.0001241245,0.00005392446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789612,"about_ca_system_score_gemma":0.000002442682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002110573,"about_ca_topic_score_gemma":0.00002410918,"domain_scores_codex":[0.9982089,0.000372603,0.0004080741,0.0002753913,0.0004879422,0.0002471133],"domain_scores_gemma":[0.9993943,0.00004721189,0.0001647028,0.0003361913,4.078671e-7,0.00005719669],"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":[0.0001150186,0.001635562,0.1923643,0.00004416532,0.00005064982,0.000009397319,0.003770054,0.007540512,0.7848901,0.001608274,0.0001515084,0.007820489],"study_design_scores_gemma":[0.0008260299,0.0001880231,0.9273066,0.00002034612,0.00005340954,0.00001761256,0.001114057,0.0004723382,0.06574284,0.0004283637,0.003647835,0.0001825649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980404,0.0002971429,0.0004291358,0.0001132683,0.00004503057,0.0003983911,0.00007193533,0.00000433621,0.000600333],"genre_scores_gemma":[0.9993076,0.0002020524,0.0003070957,0.00005876276,0.000005380352,0.0000218221,0.00002795037,0.00001007346,0.00005923911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7349423,"threshold_uncertainty_score":0.665242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008556740285059764,"score_gpt":0.2178304892481567,"score_spread":0.2092737489630969,"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."}}