{"id":"W2783176968","doi":"10.1080/02508060.2017.1416441","title":"Household economic burden from seawater intrusion in coastal urban areas","year":2018,"lang":"en","type":"article","venue":"Water International","topic":"Water resources management and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Environment; International Development Research Centre","keywords":"Economic shortage; Willingness to pay; Salinity; Household income; Intrusion; Water resource management; Natural resource economics; Environmental science; Business; Socioeconomics; Agricultural economics; Geography; Economics; Oceanography","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":[],"category_scores_codex":[0.00005339628,0.0001097851,0.00008040429,0.0001536808,0.00002231737,0.00009971338,0.000211748,0.00004628498,0.001242245],"category_scores_gemma":[0.000001191351,0.00009027714,0.00002750068,0.0000199669,0.00002655417,0.0002267208,0.0001160779,0.00006545718,0.0006131844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009142065,"about_ca_system_score_gemma":0.000001809947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004649515,"about_ca_topic_score_gemma":0.0003524557,"domain_scores_codex":[0.9993774,0.000009227635,0.0001807684,0.0001595775,0.0001054594,0.0001675765],"domain_scores_gemma":[0.9998278,0.000004641125,0.00001296938,0.0001113055,0.00001317118,0.00003012754],"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":[0.0002279736,0.00007794367,0.1872704,0.00002916773,0.000380965,0.0000628957,0.0123134,0.7227857,0.0151029,0.000464849,0.05613018,0.005153653],"study_design_scores_gemma":[0.001513419,0.00003936924,0.02139385,0.00005456248,0.00001531028,0.000002928257,0.00008789794,0.6285098,0.06029385,0.0009378992,0.2866768,0.0004743121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829893,0.000004424247,0.001717199,0.0002807763,0.001150747,0.00008171422,0.00003145065,0.0001519108,0.01359247],"genre_scores_gemma":[0.9965402,0.000006285549,0.0002729104,0.00005887635,0.001159913,0.000009460052,0.000447074,0.00002767221,0.001477582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2305466,"threshold_uncertainty_score":0.9996707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086440783517357,"score_gpt":0.184175166170311,"score_spread":0.1755310878185753,"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."}}