{"id":"W2271287621","doi":"","title":"An Empirical Analysis of Halifax Municipal Water Consumption","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Nova scotia; Consumption (sociology); Per capita; Metropolitan area; Water consumption; Economics; Econometrics; Agricultural economics; Environmental science; Demographic economics; Geography; Water resource management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003357826,0.0001938868,0.0001993053,0.001049283,0.0004331655,0.0007439821,0.00041992,0.0002784923,0.001573855],"category_scores_gemma":[0.002459262,0.0001048647,0.0001814081,0.00198154,0.0004305982,0.0003116243,0.000270333,0.0003328726,0.0002062572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006049038,"about_ca_system_score_gemma":0.001869264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8084526,"about_ca_topic_score_gemma":0.7611255,"domain_scores_codex":[0.9997804,0.00004814524,0.00001020701,0.00003815083,0.00006524781,0.00005788072],"domain_scores_gemma":[0.9976973,0.0008660987,0.0005693298,0.0001176712,0.0005821734,0.0001674564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002140877,0.00006767565,0.9773097,0.00004505038,0.00007532138,0.0005564993,0.0008096638,0.007398834,0.0009447604,0.0009559647,0.002645219,0.008977153],"study_design_scores_gemma":[0.000006397172,0.00003026345,0.9837458,0.000009592582,0.00001467748,0.000101453,0.001525267,0.01249079,0.000397916,0.00007882711,0.001587263,0.00001169825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967823,0.000112903,0.0001205387,0.0002086877,0.000001529403,0.000007112767,0.001446765,0.0000101654,0.001309952],"genre_scores_gemma":[0.9969341,0.0001153592,0.00008583377,0.00002076548,0.000002831797,0.000006761387,0.001962919,0.000002334141,0.0008691262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915474,"threshold_uncertainty_score":0.3853509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155359447886871,"score_gpt":0.3257013262015641,"score_spread":0.2741477317226954,"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."}}