{"id":"W2964783989","doi":"10.1002/wat2.1374","title":"Flooding water and society","year":2019,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal; Cornell University; Yale University; Wenner-Gren Foundation","keywords":"Water cycle; Politics; Environmental ethics; Corporate governance; Sociology; Order (exchange); Flooding (psychology); Management science; Environmental resource management; Environmental planning; Political science; Ecology; Business; Geography; Environmental science; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001635093,0.000202158,0.0002534312,0.00110641,0.00151247,0.00490162,0.000390688,0.002197425,0.004169898],"category_scores_gemma":[0.003724367,0.0001129327,0.0001383044,0.001372514,0.01951027,0.004776382,0.003496879,0.001378804,0.0002849172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955148,"about_ca_system_score_gemma":0.003432162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00479102,"about_ca_topic_score_gemma":0.004664078,"domain_scores_codex":[0.9977749,0.001500545,0.00006013975,0.0001759756,0.000345782,0.0001426044],"domain_scores_gemma":[0.9982828,0.0008526813,0.0002724925,0.0002028363,0.0002011527,0.0001881337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001647896,0.000003807041,0.0005176545,0.00004879527,0.000004215111,0.00003013302,0.002263744,0.0003676658,0.00005339838,0.9713656,0.01214699,0.01319642],"study_design_scores_gemma":[0.000002116054,0.00001001474,0.0009495852,0.0002718852,0.000003561226,0.00004441142,0.00430899,0.000253656,0.00005048515,0.7073628,0.2867334,0.000008976262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03521443,0.07635964,0.01062051,0.4685276,0.002140267,0.00004342702,0.0001577846,0.00008553421,0.406851],"genre_scores_gemma":[0.9092814,0.05392798,0.001878401,0.01507021,0.002595093,0.00007317073,0.00005877001,0.00003784275,0.01707714],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00490162,"threshold_uncertainty_score":0.02144122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600922076821077,"score_gpt":0.2975395679953062,"score_spread":0.2815303472270955,"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."}}