{"id":"W4214564092","doi":"10.3390/w14050694","title":"Development of Method for Assessing Water Footprint Sustainability","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Sustainability; Water use; Environmental science; Coal; Water scarcity; Ecological footprint; Carbon footprint; Environmental economics; Production (economics); Water-energy nexus; Environmental engineering; Greenhouse gas; Waste management; Water resources; Engineering; Economics","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":[0.006102844,0.00132813,0.0009139578,0.007062799,0.0008886411,0.002399073,0.001887467,0.00106293,0.003896147],"category_scores_gemma":[0.01279103,0.0005976395,0.001173459,0.004866433,0.001088176,0.003616422,0.002279473,0.001341776,0.001009976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331799,"about_ca_system_score_gemma":0.002820759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004997903,"about_ca_topic_score_gemma":0.004814102,"domain_scores_codex":[0.9951527,0.001698944,0.0003655409,0.0006352828,0.001999696,0.0001479396],"domain_scores_gemma":[0.994018,0.002489613,0.0005063926,0.000642787,0.002242449,0.0001009419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008307224,0.0001759233,0.02217785,0.001030201,0.0002091511,0.000197872,0.001162625,0.0443749,0.01279649,0.1183347,0.0052105,0.7942467],"study_design_scores_gemma":[0.00008386942,0.0003197556,0.01438337,0.0006082637,0.0001798476,0.0006236193,0.003115392,0.6254428,0.03255173,0.2279069,0.09452084,0.0002636343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003119081,0.0001182891,0.9920444,0.00006474912,0.00002813495,0.0002162243,0.0002717951,0.0003666032,0.003770737],"genre_scores_gemma":[0.05089846,0.0002407316,0.9460492,0.00003600501,0.00001470067,0.000867296,0.0003978208,0.00009648912,0.001399291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007062799,"threshold_uncertainty_score":0.03227532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492093156428458,"score_gpt":0.2972451893316867,"score_spread":0.2823242577674021,"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."}}