{"id":"W2115238284","doi":"10.2166/wp.2003.0014","title":"Price specification issues under block tariffs: a Spanish case study","year":2003,"lang":"en","type":"article","venue":"Water Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Economics; Econometrics; Elasticity (physics); Price elasticity of demand; Aggregate (composite); Marginal cost; Aggregate data; Panel data; Unit price; Price elasticity of supply; Agricultural economics; Microeconomics; Mathematics; Statistics","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":[0.006973061,0.0005772254,0.001240845,0.00115942,0.0004382509,0.001665014,0.001139238,0.001225732,0.005318962],"category_scores_gemma":[0.01841799,0.0003998147,0.001555246,0.003058208,0.000433665,0.001428885,0.0008225235,0.0009576588,0.000702485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756129,"about_ca_system_score_gemma":0.001169451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06204176,"about_ca_topic_score_gemma":0.02958133,"domain_scores_codex":[0.9967985,0.001825532,0.0001753447,0.0002859921,0.0006289471,0.0002856819],"domain_scores_gemma":[0.9848003,0.01177036,0.0008476423,0.0009373073,0.001547168,0.00009718873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008261667,0.0007807564,0.149857,0.0004344907,0.0003232923,0.00149124,0.0008348886,0.7190351,0.001183935,0.04870806,0.007031668,0.06949332],"study_design_scores_gemma":[0.000307726,0.0005611255,0.06932478,0.00008177634,0.0001645694,0.000564324,0.001901099,0.8866739,0.001344529,0.0268245,0.01215608,0.00009555445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439023,0.000584863,0.0426214,0.0003399511,0.00002799728,0.000177888,0.003586276,0.0001456233,0.008613683],"genre_scores_gemma":[0.979075,0.0003934191,0.01232565,0.00004163699,0.00002272061,0.0001045665,0.004741896,0.0001128682,0.003182288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06204176,"threshold_uncertainty_score":0.1233613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690405942337519,"score_gpt":0.2384263417752542,"score_spread":0.221522282351879,"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."}}