{"id":"W1485902920","doi":"10.1002/047147844x.iw25","title":"Economics of Industrial Water Demands","year":2004,"lang":"en","type":"other","venue":"Water Encyclopedia","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Industrial water; Water use; Business; Water quality; Water supply; Water industry; Natural resource economics; Dimension (graph theory); Environmental science; Water resource management; Agricultural economics; Economics; Environmental engineering; Engineering; Waste management; Mathematics; Ecology","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":[0.0004405578,0.0001624339,0.000205345,0.0009510502,0.0003529704,0.002101246,0.0003215723,0.0007417164,0.01693619],"category_scores_gemma":[0.002779225,0.0002305524,0.0002343708,0.001394458,0.0009877481,0.001856934,0.0006352745,0.0007655406,0.0008312794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172631,"about_ca_system_score_gemma":0.0006552094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003906799,"about_ca_topic_score_gemma":0.003852987,"domain_scores_codex":[0.9995707,0.0001176034,0.00001239543,0.00003504655,0.000177214,0.00008710629],"domain_scores_gemma":[0.9974213,0.001487917,0.0004102905,0.0001319294,0.0003517152,0.0001968504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001606899,0.0002217851,0.02128804,0.0002476914,0.00005383086,0.0005684539,0.0001839351,0.08587909,0.001214263,0.827184,0.01568289,0.04731536],"study_design_scores_gemma":[0.00006457923,0.0001407357,0.06404857,0.0003089474,0.00003739748,0.0006434955,0.002439677,0.07616599,0.00193575,0.7255766,0.1285707,0.00006745846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2505365,0.004210122,0.009835681,0.01162497,0.0001138601,0.00004688151,0.00124253,0.00003559853,0.7223538],"genre_scores_gemma":[0.976443,0.002032856,0.0002395151,0.0001955397,0.0001027257,0.00001594419,0.0001989175,0.000009306355,0.0207621],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01693619,"threshold_uncertainty_score":0.0566572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00831309917320279,"score_gpt":0.1662712941951916,"score_spread":0.1579581950219888,"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."}}