{"id":"W4404298626","doi":"10.14796/jwmm.c528","title":"Potential Flood Hazard Mapping Based on GIS and Analytical Hierarchy Process","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Hazard; Analytic hierarchy process; Process (computing); Hierarchy; Computer science; Geographic information system; Environmental science; Geography; Cartography; Engineering; Operations research; Political science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007295986,0.0001829579,0.0001940692,0.0003297375,0.0001131205,0.0002659823,0.0002405826,0.00003751119,0.0003034796],"category_scores_gemma":[0.000002825111,0.0001215496,0.000119236,0.0001702977,0.00004178372,0.0004329417,0.0002200329,0.0002288203,0.00005432579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099746,"about_ca_system_score_gemma":0.000005901762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006355426,"about_ca_topic_score_gemma":0.000001645427,"domain_scores_codex":[0.9981942,0.00003863891,0.0004289407,0.0003023369,0.000708415,0.0003275118],"domain_scores_gemma":[0.9996617,0.00000971273,0.0000509532,0.0001499033,0.00001366276,0.0001140748],"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":[0.00005866364,0.000111925,0.0004202655,0.0001934368,0.0001610406,0.0004989293,0.0003313418,0.9838521,0.0002464311,0.0002787527,0.001061572,0.01278547],"study_design_scores_gemma":[0.000488105,0.0001330966,0.0002051645,0.0001681266,0.0001775258,0.00001054784,0.0002729807,0.9926653,0.0001374999,0.002305822,0.003266008,0.0001698192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5581592,0.00007367867,0.4276307,0.00495075,0.0004500691,0.0002638193,0.000001012317,0.00005071465,0.008420021],"genre_scores_gemma":[0.9929939,0.00007007413,0.005837651,0.0003421811,0.0001048537,0.000005614392,0.000002682354,0.00002232537,0.0006207012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4348347,"threshold_uncertainty_score":0.4956647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209775381375206,"score_gpt":0.2443359248761334,"score_spread":0.2322381710623814,"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."}}