{"id":"W2158068093","doi":"10.14796/jwmm.r215-05","title":"Modeling as a Tool for Economic Analysis of Basement Flood Relief Projects","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Basement; Economic analysis; Geology; Civil engineering; Construction engineering; Engineering; History; Archaeology; Economics; Agricultural economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001454503,0.001118537,0.0008216121,0.001350042,0.0008101079,0.002646507,0.001500313,0.001426606,0.005776696],"category_scores_gemma":[0.004535499,0.0007293487,0.001010253,0.001695059,0.0005184006,0.001620388,0.001062632,0.001126111,0.0005270264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245065,"about_ca_system_score_gemma":0.002330176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04211893,"about_ca_topic_score_gemma":0.03019169,"domain_scores_codex":[0.9994568,0.0002942162,0.00002982109,0.00004610723,0.000096025,0.00007705377],"domain_scores_gemma":[0.998328,0.001236903,0.0001219343,0.00006952437,0.0001561545,0.00008745369],"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":[0.00001068915,0.00002726092,0.0005945266,0.00001500437,0.00001152229,0.00004374455,0.00002745197,0.9792941,0.00007468051,0.01575842,0.0005368926,0.003605756],"study_design_scores_gemma":[0.000003918042,0.000005488708,0.00009558998,0.000004432768,0.000002963914,0.000005999474,0.00002264748,0.9945155,0.00003045587,0.004224197,0.001086051,0.000002775069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1736293,0.0009656709,0.7610205,0.001495928,0.0001663108,0.0003870316,0.002797652,0.001030831,0.05850673],"genre_scores_gemma":[0.8189964,0.001236588,0.1646637,0.00008418594,0.00009410869,0.000785446,0.00127962,0.0002729946,0.01258702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04211893,"threshold_uncertainty_score":0.08374757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911024648950655,"score_gpt":0.2602906481700689,"score_spread":0.2211804016805623,"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."}}