{"id":"W3206794903","doi":"10.1002/wwp2.12059","title":"Physico‐chemical characterization of littoral water of Lake Kivu (Southern basin, Central Africa) and use of water quality index to assess their anthropogenic disturbances","year":2021,"lang":"en","type":"article","venue":"World Water Policy","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Water quality; Turbidity; Littoral zone; Aquatic ecosystem; Trophic state index; Hydrology (agriculture); Benthic zone; Biodiversity; Eutrophication; Ecology; Nutrient","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002497614,0.000199713,0.0004047083,0.0000720694,0.0000539503,0.00003787575,0.0001661074,0.00006183853,0.0006460973],"category_scores_gemma":[0.000009996556,0.0001150057,0.0001161735,0.0001900409,0.0003715422,0.000275106,0.0003793518,0.00009147461,0.00002633191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006587057,"about_ca_system_score_gemma":0.00001610676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644806,"about_ca_topic_score_gemma":0.0006193543,"domain_scores_codex":[0.9980321,0.0002878024,0.0005656421,0.0003264271,0.0003227956,0.0004652362],"domain_scores_gemma":[0.9993546,0.00002475822,0.0001038826,0.000343491,0.00003669743,0.0001365651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007118729,0.0002384984,0.11813,0.00006936563,0.00003543886,9.996738e-7,0.01253008,0.00003841359,0.8683373,0.0001127109,0.00003299278,0.0004030315],"study_design_scores_gemma":[0.0002324244,0.00002321561,0.1893042,0.00002286497,0.00001370802,0.000001078939,0.0001045973,0.00001890244,0.7993827,0.0002158143,0.01052907,0.0001514305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965058,0.000002962993,0.0002417493,0.002427224,0.00007769597,0.0001588836,0.000454616,0.00001459348,0.0001164927],"genre_scores_gemma":[0.9976676,0.000004959056,0.0001378099,0.0002377,0.00008768337,0.00000868198,0.0002214069,0.00001618647,0.001617995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07117423,"threshold_uncertainty_score":0.7074313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920066186414273,"score_gpt":0.2887754901537397,"score_spread":0.239574828289597,"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."}}