{"id":"W2514368667","doi":"10.1016/j.ecolind.2016.07.051","title":"Understanding the LCA and ISO water footprint: A response to Hoekstra (2016) “A critique on the water-scarcity weighted water footprint in LCA”","year":2016,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":218,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"U.S. Environmental Protection Agency","keywords":"Water use; Water scarcity; Life-cycle assessment; Footprint; Environmental science; Resource (disambiguation); Environmental economics; Environmental resource management; Natural resource economics; Water resources; Water resource management; Business; Computer science; Economics; Production (economics); 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":[0.002713846,0.0002897513,0.0002414899,0.00008903194,0.0004820467,0.00007786682,0.0005164766,0.0002143965,0.004088043],"category_scores_gemma":[0.0001835885,0.00008201988,0.00009134909,0.0001228521,0.001083775,0.00009205886,0.001009143,0.0003752535,0.0005588938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389025,"about_ca_system_score_gemma":0.000008438115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008800615,"about_ca_topic_score_gemma":0.0001287411,"domain_scores_codex":[0.9968669,0.0008435786,0.0003574786,0.0006095694,0.0003469319,0.0009755137],"domain_scores_gemma":[0.998614,0.0005598171,0.00003275443,0.0005065612,0.000003120692,0.0002837554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002294705,0.001203162,0.710273,0.00001935377,0.00005625388,0.0001930294,0.01540684,0.00007849836,0.2627947,0.002448285,0.0004888747,0.004743316],"study_design_scores_gemma":[0.000460118,0.0005897924,0.8488302,0.00001421306,0.000008220695,0.000007476018,0.001120931,0.000008206077,0.1262916,0.01680113,0.005585108,0.0002829107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530931,0.000002001624,0.0001925008,0.04441077,0.00006332629,0.0008542169,0.000004846942,0.00004054674,0.001338725],"genre_scores_gemma":[0.9977817,0.00001281226,0.00003057722,0.001378976,0.00002141136,0.0001360178,0.000001259409,0.00001751667,0.0006197644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385572,"threshold_uncertainty_score":0.9968224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723898021909124,"score_gpt":0.2456006941186998,"score_spread":0.2183617138996086,"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."}}