{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008007361,0.0002132189,0.000386066,0.00002726195,0.0004755056,0.000142506,0.0002991378,0.0001361218,0.002810199],"category_scores_gemma":[0.000005487891,0.0001084513,0.0002335767,0.00005516149,0.0001915334,0.0006605028,0.0007030564,0.0002232499,0.002025689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007404257,"about_ca_system_score_gemma":0.00001248616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004081503,"about_ca_topic_score_gemma":0.0000240698,"domain_scores_codex":[0.9983047,0.0001399491,0.0003505683,0.0003890863,0.0002254206,0.0005902395],"domain_scores_gemma":[0.999481,0.0000130591,0.00005404776,0.0002960206,0.00003572345,0.000120107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007351779,0.00007965727,0.03201528,0.0008553439,0.0001602741,0.00002165795,0.6024742,0.00001345279,0.06737961,0.001704299,0.2619857,0.033237],"study_design_scores_gemma":[0.0002694412,0.00007250033,0.0007448131,0.0003970545,0.00002806211,0.0000075438,0.002876746,0.00001931767,0.006054305,0.003887985,0.9852989,0.0003433542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560275,0.001491548,0.00002135712,0.003810088,0.001061817,0.0006873925,0.000005850583,0.0000680063,0.03682644],"genre_scores_gemma":[0.9758124,0.004424463,0.0003200868,0.0009232488,0.0006901415,0.00003794472,0.00003886106,0.00002729524,0.01772557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7233132,"threshold_uncertainty_score":0.9987513,"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."}}