{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005454045,0.0002588688,0.0002931078,0.000267035,0.0000122431,0.00002522393,0.0002046424,0.0003260614,0.00230372],"category_scores_gemma":[8.418572e-7,0.0001727379,0.00007244724,0.00002932296,0.0000266188,0.0000541006,0.00007448527,0.0001344666,0.0004063958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004168324,"about_ca_system_score_gemma":0.000004422516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000052679,"about_ca_topic_score_gemma":0.00003737442,"domain_scores_codex":[0.9991691,0.000008817907,0.0002710727,0.000179711,0.00007586068,0.0002954601],"domain_scores_gemma":[0.9996691,0.000001936935,0.00003122124,0.0002459539,0.000006246673,0.00004549671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003355795,0.00008614682,0.001202931,0.001010856,0.0008877553,0.00002904028,0.003114168,0.2805847,0.000195881,0.0001992228,0.7041404,0.008515348],"study_design_scores_gemma":[0.0005452221,0.00001604891,0.00000391457,0.00007230019,0.00006324715,5.32981e-7,0.000005235208,0.0002865418,0.003812503,0.0001362946,0.9947526,0.000305532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00543306,0.0001007903,0.0004140254,0.00002270832,0.001278712,0.0003209804,0.00002320883,0.0003828265,0.9920237],"genre_scores_gemma":[0.01738986,0.001846853,0.0006807879,0.00002473447,0.002317038,0.00004375532,0.001162835,0.001106104,0.975428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2906123,"threshold_uncertainty_score":0.9986083,"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."}}