{"id":"W4324139248","doi":"10.1007/s13762-023-04863-3","title":"Natural and electro-flocculation of Cr, Cd, Co, and Ni during estuarine mixing","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Flocculation; Seawater; Estuary; Environmental chemistry; Chemistry; Aquatic environment; Environmental science; Heavy metals; Ecotoxicology; Environmental engineering; 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":[0.000280091,0.00006622385,0.0001001811,0.0002590111,0.0001210866,0.00001938338,0.0001559642,0.00003030739,0.00005177287],"category_scores_gemma":[0.0000682598,0.00005535491,0.00001178745,0.0002399989,0.001131996,0.0003701413,0.0002761745,0.00009694684,0.000004952651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007993011,"about_ca_system_score_gemma":0.000007186959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001404834,"about_ca_topic_score_gemma":0.000004114201,"domain_scores_codex":[0.9991279,0.000007079789,0.000192868,0.0001290569,0.0004113485,0.0001317574],"domain_scores_gemma":[0.9997207,0.00002257062,0.0001526181,0.00004395229,0.00001410856,0.00004602833],"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":[0.00001161303,0.00001251059,0.2929719,0.000001519231,0.00001281464,0.000009739648,0.0001568342,0.000004696166,0.6813518,0.00009081204,0.00003234992,0.02534335],"study_design_scores_gemma":[0.0003823947,0.00008931109,0.9304802,0.00001384016,0.000007436372,0.0003214086,0.0005292153,0.0002029601,0.06654765,0.0009873462,0.0003722812,0.00006595883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985712,0.0001844724,0.000009974468,0.0008696057,0.00009412036,0.00004097918,0.000002369807,0.000008429211,0.0002188747],"genre_scores_gemma":[0.9989663,0.0007253067,0.0002031191,0.00003073121,0.00001668988,8.941478e-7,7.151696e-7,0.000002708151,0.00005349659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6375083,"threshold_uncertainty_score":0.4170886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005722522883205431,"score_gpt":0.2535089191375184,"score_spread":0.247786396254313,"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."}}