{"id":"W2175599468","doi":"10.2495/safe-v3-n2-141-152","title":"A multivariate model for flood forecasting of lake levels","year":2013,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Flood myth; Multivariate analysis; Flood forecasting; Environmental science; Statistics; Hydrology (agriculture); Mathematics; Engineering; Geography; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005615317,0.0006072564,0.0007818912,0.0003716312,0.0003817871,0.0007005686,0.0008755283,0.0005510015,0.001598287],"category_scores_gemma":[0.001333106,0.0002912765,0.0008589714,0.0007742506,0.0003057072,0.0008066953,0.0006511931,0.001386498,0.0003028977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006610929,"about_ca_system_score_gemma":0.0009374999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064498,"about_ca_topic_score_gemma":0.01447806,"domain_scores_codex":[0.9997149,0.00008115021,0.00001661052,0.00007564674,0.00007310833,0.00003863731],"domain_scores_gemma":[0.9996588,0.000154424,0.0000555324,0.00002176386,0.00008780392,0.00002160256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002828113,0.00001391459,0.0008417989,0.00001611438,0.00002583212,0.00002701107,0.00001681651,0.9850567,0.0007331783,0.002965557,0.0003229553,0.009951773],"study_design_scores_gemma":[0.000001214561,0.000005794075,0.0001480199,7.536051e-7,0.000002859039,0.000002864833,0.000001096416,0.9991793,0.00005454302,0.0004452107,0.0001552506,0.000003152841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04690264,0.0002394085,0.9490973,0.0002428537,0.00007770915,0.00004186916,0.0005975614,0.0004772267,0.002323279],"genre_scores_gemma":[0.9111665,0.0005843118,0.07968283,0.00006320776,0.00008596198,0.0002249957,0.0008592244,0.00008662199,0.007246399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02064498,"threshold_uncertainty_score":0.0410496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686360174615018,"score_gpt":0.2218340365196456,"score_spread":0.2049704347734954,"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."}}