{"id":"W2908190216","doi":"10.1002/wat2.1334","title":"Defining “water resilience”: Debates, concepts, approaches, and gaps","year":2018,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Resilience (materials science); Corporate governance; Context (archaeology); Environmental resource management; Multi-level governance; Psychological resilience; Environmental planning; Conceptual framework; Political science; Sociology; Environmental science; Geography; Social science; Psychology; Economics; Management; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000410199,0.0003107361,0.000365784,0.0001218538,0.0002274284,0.0001356727,0.0002576619,0.00008676555,0.0004829118],"category_scores_gemma":[0.000004196954,0.0001787594,0.00008385048,0.00008613111,0.0001921262,0.0003591134,0.0006561705,0.0001551884,0.001284665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003955342,"about_ca_system_score_gemma":0.000001423444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002293114,"about_ca_topic_score_gemma":0.00001024664,"domain_scores_codex":[0.9984428,0.00007704079,0.0004756626,0.0003749466,0.000121805,0.0005077202],"domain_scores_gemma":[0.9994766,0.000009513378,0.00003067618,0.0003606966,0.00002169899,0.0001007773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004715642,0.0003650844,0.01027917,0.007711532,0.0008478448,0.0001763604,0.1700737,0.03440458,0.01796528,0.001563602,0.4089276,0.3472137],"study_design_scores_gemma":[0.0006809419,0.000319325,0.0002047079,0.001033798,0.0001312392,0.00005589772,0.0004634224,0.04560526,0.03524623,0.00119024,0.9140254,0.001043586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.730175,0.06979306,0.02637379,0.002225263,0.003105103,0.004039507,0.00002841048,0.001966927,0.1622929],"genre_scores_gemma":[0.9917924,0.002184368,0.002225909,0.0001716446,0.0004013679,0.0001353234,0.0002398106,0.00008620712,0.002763014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5050977,"threshold_uncertainty_score":0.9994929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030420790219315,"score_gpt":0.2553336706607537,"score_spread":0.2350294627585606,"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."}}