{"id":"W4229706855","doi":"10.4095/300864","title":"Water Consumption: Commercial and Institutional Water Consumption, 1999","year":2010,"lang":"en","type":"report","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water consumption; Consumption (sociology); Business; Agricultural economics; Environmental science; Natural resource economics; Water resource management; Economics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006958751,0.001815948,0.0004086755,0.004889492,0.0003448144,0.001111478,0.001252411,0.0005198157,0.007600271],"category_scores_gemma":[0.0009799387,0.0005941234,0.0005833546,0.01310404,0.0002743145,0.002070951,0.0007812313,0.0008147683,0.00657322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003685646,"about_ca_system_score_gemma":0.002496109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1629836,"about_ca_topic_score_gemma":0.1867438,"domain_scores_codex":[0.9989799,0.00004495768,0.0001138473,0.0001097799,0.0006780932,0.00007343233],"domain_scores_gemma":[0.998886,0.00007822674,0.0001649206,0.00005811111,0.0007640736,0.00004856509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006219027,0.0007857824,0.1204964,0.001777024,0.000213556,0.0002633664,0.0005572486,0.007266992,0.001726969,0.005052269,0.756671,0.1045675],"study_design_scores_gemma":[0.00007035876,0.0001868876,0.5472236,0.0002596266,0.00006751111,0.0001484948,0.0007655671,0.002901017,0.003080981,0.0007813801,0.4444503,0.00006435128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03113998,0.003192743,0.001746332,0.0006209884,0.0004457027,0.0003912784,0.9067817,0.0002882741,0.05539298],"genre_scores_gemma":[0.06395785,0.006056415,0.002993716,0.0001709301,0.0001239356,0.000553552,0.8597877,0.0001250325,0.06623093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1629836,"threshold_uncertainty_score":0.3240698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982989065285073,"score_gpt":0.236033254228971,"score_spread":0.2062033635761202,"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."}}