{"id":"W4404068794","doi":"10.2139/ssrn.5010527","title":"Inundation Dynamics of an Extreme Urban Confluence Flood: Insights from In-Situ Measurements, Remote Sensing, and Hydrodynamic Modelling","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Confluence; Flood myth; In situ; Environmental science; Geology; Remote sensing; Computer science; Geography; Meteorology; Archaeology","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":[0.0002108475,0.0002301009,0.0002367249,0.0003623589,0.0002472828,0.0005750421,0.0002287417,0.0004558885,0.001104844],"category_scores_gemma":[0.0007919114,0.0002109386,0.0001963982,0.0004791248,0.0002624156,0.000803577,0.0003093247,0.0002887705,0.000113122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003667685,"about_ca_system_score_gemma":0.0002500613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235878,"about_ca_topic_score_gemma":0.01064921,"domain_scores_codex":[0.9999331,0.00001603892,0.000005267932,0.00001646215,0.000009245041,0.00001987651],"domain_scores_gemma":[0.9997783,0.0001095395,0.00004774892,0.00001610631,0.00002667589,0.00002148819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005288027,0.0005266444,0.5215496,0.0001024355,0.0001405208,0.00126393,0.0009639372,0.3934315,0.03712476,0.004085657,0.003057829,0.03722446],"study_design_scores_gemma":[0.00001855854,0.0000661646,0.4117528,0.000007846678,0.00003080569,0.0001102681,0.0003712165,0.5831272,0.002105352,0.001675814,0.0007058915,0.0000280573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971431,0.00002921812,0.001327279,0.0001146678,0.000007098798,0.000003254105,0.0002278383,0.00003528272,0.001112172],"genre_scores_gemma":[0.9995525,0.0000270262,0.0001486434,0.000003256127,0.000003958372,0.000001226222,0.0000966061,0.000004918735,0.0001618533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235878,"threshold_uncertainty_score":0.02457368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695504562700667,"score_gpt":0.2336919786069439,"score_spread":0.2167369329799372,"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."}}