{"id":"W2045182024","doi":"10.1007/s11367-013-0577-1","title":"Land use impacts on freshwater regulation, erosion regulation, and water purification: a spatial approach for a global scale level","year":2013,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Land use; Ecosystem services; Groundwater recharge; Impact assessment; Environmental science; Environmental resource management; Scale (ratio); Biome; Ecosystem; Environmental planning; Geography; Groundwater; Ecology; Engineering; Cartography; Civil engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005575529,0.0001303474,0.000136255,0.00002917099,0.0001441251,0.0002276061,0.000296019,0.00005058821,0.000656993],"category_scores_gemma":[0.00005855908,0.0000732571,0.00007682924,0.00003658686,0.0001420087,0.000716397,0.0001377868,0.00009809758,0.00001506056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005551747,"about_ca_system_score_gemma":0.00002504198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006005711,"about_ca_topic_score_gemma":0.0001138386,"domain_scores_codex":[0.9984907,0.00008382121,0.0004112797,0.0001682608,0.0006621604,0.0001837597],"domain_scores_gemma":[0.999297,0.00006798336,0.0002195115,0.0001801652,0.00009011411,0.0001452382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003974426,0.0005629827,0.9421358,0.00001172246,0.0001094174,0.000001327949,0.0006535381,0.02578603,0.01804163,0.0002579125,0.005277507,0.006764687],"study_design_scores_gemma":[0.000860694,0.0001440797,0.9753848,0.00001107021,0.00001775483,0.00002627089,0.000124189,0.01618177,0.001510148,0.004895081,0.0007459869,0.00009813003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679682,0.000006170549,0.02549799,0.005596303,0.0001369157,0.0004276655,0.00002619984,0.000006407844,0.0003341484],"genre_scores_gemma":[0.9907387,0.000008351133,0.008220699,0.000549163,0.0001771552,0.00002531451,0.00003566769,0.000009384402,0.0002355645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03324902,"threshold_uncertainty_score":0.7193612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259011554906455,"score_gpt":0.2802543640953442,"score_spread":0.2576642485462797,"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."}}