{"id":"W2005524263","doi":"10.3390/w6020381","title":"Real Time Estimation of the Calgary Floods Using Limited Remote Sensing Data","year":2014,"lang":"en","type":"article","venue":"Water","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Flooding (psychology); Remote sensing; Environmental science; Estimation; Event (particle physics); Flash flood; Computer science; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000622622,0.0004462971,0.000325605,0.001618802,0.0002776244,0.0007824107,0.0005130823,0.0004348615,0.0009456195],"category_scores_gemma":[0.002555286,0.0002356244,0.0002417128,0.001389575,0.0002623441,0.0005519002,0.0005846852,0.0003254442,0.0002152605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278887,"about_ca_system_score_gemma":0.000755049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1572956,"about_ca_topic_score_gemma":0.1670385,"domain_scores_codex":[0.9997733,0.00004755568,0.00002136405,0.00005117866,0.00006519597,0.00004141066],"domain_scores_gemma":[0.9993728,0.0002609926,0.00009230335,0.00006791473,0.0001598657,0.00004614919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003706393,0.0002015208,0.2437784,0.0002087028,0.000172089,0.001102373,0.000752624,0.6401799,0.007134762,0.001267568,0.00392367,0.1009078],"study_design_scores_gemma":[0.00003878063,0.00005347559,0.2768032,0.000047169,0.00002786131,0.00005376625,0.0005970277,0.7188644,0.001368054,0.0006193484,0.001491955,0.00003497449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877653,0.0002427735,0.006164977,0.000194904,0.00002351197,0.00005468098,0.002233353,0.0002292653,0.003091222],"genre_scores_gemma":[0.9891831,0.0001632897,0.00729702,0.00003106315,0.00001582306,0.00003478928,0.00251658,0.00001305059,0.0007453024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8427044,"threshold_uncertainty_score":0.3127602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901260310225079,"score_gpt":0.2487457242097972,"score_spread":0.2297331211075464,"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."}}