{"id":"W2122625491","doi":"10.3390/su7043900","title":"Dual-Level Material and Psychological Assessment of Urban Water Security in a Water-Stressed Coastal City","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Dual (grammatical number); Water security; Environmental planning; Water resource management; Environmental resource management; Environmental science; Water resources","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.005195851,0.0001765828,0.0004555807,0.0002831563,0.00005673235,0.0001002873,0.000434417,0.0001883415,0.0003363586],"category_scores_gemma":[0.001574944,0.0000974482,0.0000649348,0.0002860324,0.0005954898,0.0002130174,0.001118802,0.0002022231,0.000009339253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740977,"about_ca_system_score_gemma":0.00007023116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001902024,"about_ca_topic_score_gemma":0.0004096519,"domain_scores_codex":[0.9970527,0.0004721489,0.000712738,0.0006710691,0.0006081439,0.0004832495],"domain_scores_gemma":[0.9981385,0.0001296476,0.0000838089,0.0007000702,0.0008285551,0.0001194168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003305471,0.00116424,0.9782145,0.00007059069,0.00001276034,0.00008464605,0.003117247,0.000004557492,0.0006227151,0.008543272,0.001062486,0.006772459],"study_design_scores_gemma":[0.001627991,0.0005187819,0.3900076,0.000004110152,0.000009392395,0.000005124773,0.004128901,0.0003040679,0.006099959,0.593313,0.003766219,0.0002148084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947481,0.000006241838,0.0004178415,0.001849064,0.0002697636,0.0004842543,0.00002652906,0.00004975899,0.002148475],"genre_scores_gemma":[0.9991574,7.319554e-7,0.0001820422,0.0000172416,0.00003578166,0.00003073746,0.00001416591,0.000005571031,0.0005563858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5882068,"threshold_uncertainty_score":0.3973822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141231453755679,"score_gpt":0.4109954040896638,"score_spread":0.2968722587140959,"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."}}