{"id":"W4309928386","doi":"10.1007/s11356-022-24051-z","title":"Environmental assessment of optimized renewable energy-based microgrids integrated desalination plant: considering human health, ecosystem quality, climate change, and resources","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Environmental science; Life-cycle assessment; Desalination; Environmental engineering; Turbine; Photovoltaic system; Battery (electricity); Engineering; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00582642,0.0002234449,0.0002874442,0.0003018525,0.002854322,0.00008378832,0.0003605467,0.00006469668,0.001154742],"category_scores_gemma":[0.00001888483,0.0002204813,0.0000440851,0.0004879143,0.002029354,0.0004563621,0.001238435,0.0003187367,0.000006288947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634828,"about_ca_system_score_gemma":0.00005198427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325715,"about_ca_topic_score_gemma":0.0003789036,"domain_scores_codex":[0.9951776,0.000844932,0.0004963464,0.0007048838,0.001963414,0.000812855],"domain_scores_gemma":[0.9989852,0.00009139736,0.0002507603,0.0003060584,0.000002957933,0.0003636411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002245411,0.001232285,0.1337009,0.00008292457,0.00002955249,0.00002085301,0.002661631,0.06567249,0.7761352,0.000976094,0.0006135001,0.01865005],"study_design_scores_gemma":[0.002950185,0.001893347,0.9039226,0.0000944898,0.00002111356,0.00007797085,0.007672897,0.02107202,0.03003921,0.0002958809,0.03115332,0.0008070412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970046,0.0003388454,0.00007667029,0.000713944,0.00005685806,0.0003953181,0.00040908,0.00002439154,0.0009802968],"genre_scores_gemma":[0.9977697,0.0006090267,0.0008811063,0.0003613009,0.00002101333,0.0001308493,0.00009615365,0.00001920703,0.000111692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7702217,"threshold_uncertainty_score":0.9997584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07135000962265806,"score_gpt":0.3479968342000704,"score_spread":0.2766468245774124,"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."}}