{"id":"W2334908128","doi":"10.1061/40976(316)552","title":"An Environmental Security and Water Resources Management System Using Real Time Water Quality Warning and Communication for the Nile River","year":2008,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2008","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation; Government of Newfoundland and Labrador","funders":"","keywords":"Water resources; Warning system; Water security; Water quality; Environmental resource management; Early warning system; Environmental security; Computer science; Quality (philosophy); Environmental science; Computer security; Environmental planning; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231863,0.0001504328,0.0001890534,0.0005104953,0.0006922348,0.00108127,0.000466085,0.0004435879,0.00176833],"category_scores_gemma":[0.001015153,0.0001143632,0.0001391314,0.0003783271,0.0003227825,0.001102083,0.001089359,0.0003938511,0.0003614946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094067,"about_ca_system_score_gemma":0.002648072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008982449,"about_ca_topic_score_gemma":0.008360549,"domain_scores_codex":[0.9994062,0.0001676724,0.0000413964,0.00008126927,0.0002155374,0.0000879307],"domain_scores_gemma":[0.9994499,0.00007574622,0.00007027026,0.00005391297,0.000243559,0.0001066286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001517836,0.001252275,0.04906429,0.0003361496,0.0001377654,0.001151178,0.002260619,0.07241753,0.136962,0.01641301,0.03153662,0.6869507],"study_design_scores_gemma":[0.0007987609,0.002971963,0.07201175,0.000113942,0.0002548353,0.0005291996,0.003589878,0.6246672,0.1171446,0.005710589,0.171918,0.0002893794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6693596,0.0002780493,0.2659262,0.004430198,0.0001527046,0.001267949,0.0008867948,0.006225214,0.05147336],"genre_scores_gemma":[0.9215618,0.0001807202,0.06512689,0.0002148662,0.00003564523,0.0002665597,0.0007455895,0.00005319432,0.01181475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008982449,"threshold_uncertainty_score":0.01786035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771914678480482,"score_gpt":0.2350786472901261,"score_spread":0.2173595005053213,"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."}}