{"id":"W990358102","doi":"","title":"Water demand management measures: analysis of water tariffs and metering in Barbados","year":2006,"lang":"en","type":"article","venue":"Journal of Eastern Caribbean studies","topic":"Water resources management and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Metering mode; Business; Demand management; Economics; Water resource management; Natural resource economics; Environmental science; Engineering; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009536077,0.0003343267,0.0005547712,0.0009140283,0.001007588,0.001100301,0.001162104,0.000521477,0.001668878],"category_scores_gemma":[0.004360055,0.0003260632,0.0004984798,0.002250291,0.0007603589,0.0004025361,0.0006752055,0.0006681959,0.0001566863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007854956,"about_ca_system_score_gemma":0.003376323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9099812,"about_ca_topic_score_gemma":0.9396293,"domain_scores_codex":[0.9993433,0.0001776425,0.00004105969,0.0001121288,0.0001134724,0.0002122703],"domain_scores_gemma":[0.997817,0.0007216493,0.0005928143,0.0001353894,0.0005384875,0.0001946122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001571805,0.0002322732,0.9104162,0.0002103028,0.0004945862,0.0007616625,0.005326519,0.04993415,0.00275928,0.009304225,0.001861578,0.01712728],"study_design_scores_gemma":[0.00003339496,0.0000770269,0.9794652,0.00003567675,0.0001532924,0.00003616773,0.006020835,0.01188673,0.0003756124,0.0003221309,0.001564668,0.0000292142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978932,0.0001146913,0.0001925049,0.00008997312,0.000002696149,0.000008811251,0.0002923953,0.000005919595,0.001399921],"genre_scores_gemma":[0.9981079,0.00009874281,0.0002019555,0.000008609754,0.00000143822,0.00000550874,0.0004050969,0.00000485683,0.001165906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9099812,"threshold_uncertainty_score":0.1810979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405442076879752,"score_gpt":0.2121206330513599,"score_spread":0.1980662122825624,"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."}}