{"id":"W4313898196","doi":"10.1007/s10653-022-01449-9","title":"Assessment of impacts of industrial effluents on physico-chemical and microbiological qualities of irrigation water of the Fez Rriver, Morocco","year":2023,"lang":"en","type":"article","venue":"Environmental Geochemistry and Health","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wastewater; Effluent; Environmental science; Wastewater quality indicators; Fecal coliform; Industrial wastewater treatment; Irrigation; Pollutant; Contamination; Pollution; Environmental engineering; Population; Kjeldahl method; Sewage treatment; Environmental chemistry; Water quality; Chemical oxygen demand; Chemistry; Agronomy; Biology; Nitrogen; Ecology","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":[0.0004128845,0.0001093932,0.0002451598,0.00001227902,0.0000548008,0.000002494253,0.00009894392,0.00008834316,0.0002180282],"category_scores_gemma":[0.00000562264,0.00007201972,0.00005363861,0.00005091588,0.0005830841,0.0000394763,0.0002227922,0.0001203792,0.000002137712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008640741,"about_ca_system_score_gemma":0.00001470069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002795691,"about_ca_topic_score_gemma":0.000001916605,"domain_scores_codex":[0.9989184,0.0001001046,0.0003899693,0.0001802321,0.0002416898,0.0001695935],"domain_scores_gemma":[0.9994815,0.00004168766,0.0002501446,0.0001580372,0.000001565939,0.0000670597],"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":[0.00002894701,0.0001963399,0.1409839,0.0001186327,0.00001476748,1.236215e-7,0.0006876264,0.00005034602,0.8573452,0.00005771836,0.0001341546,0.00038224],"study_design_scores_gemma":[0.0004553781,0.000122972,0.3208378,0.00005738721,0.000007132145,0.000001156791,0.0003616386,0.00002554002,0.6777915,0.0002353452,0.00005048894,0.0000536211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989988,0.00001412433,0.000001656459,0.0003524596,0.00002841754,0.0001563911,0.0002231225,0.000003989334,0.0002210641],"genre_scores_gemma":[0.9996663,0.00006143845,0.00005115637,0.00007015068,0.00001365776,0.000003761664,0.00007626326,0.000003703344,0.00005354194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1798539,"threshold_uncertainty_score":0.2936879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259856626474439,"score_gpt":0.3070909097957433,"score_spread":0.2644923435309989,"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."}}