{"id":"W3122192081","doi":"10.1021/acsomega.0c05184","title":"Environmental and Exergetic Analysis of Large-Scale Production of Citric Acid-Coated Magnetite Nanoparticles via Computer-Aided Process Engineering Tools","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Process Optimization and Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Toronto Metropolitan University","funders":"Universidad de Cartagena; Western University; Ryerson University","keywords":"Exergy; Citric acid; Magnetite; Hydrogen production; Environmental science; Process engineering; Chemistry; STREAMS; Environmental engineering; Chemical engineering; Hydrogen; Materials science; Computer science; Engineering; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.00006267974,0.0000959978,0.0002055803,0.0001904589,0.00001964183,0.00001743747,0.0000484411,0.0000456522,0.000024211],"category_scores_gemma":[0.00002591006,0.0001013875,0.00003563404,0.0007559842,0.00001753275,0.000242575,0.00001876957,0.00005126099,0.000001305622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909829,"about_ca_system_score_gemma":0.000006964727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.444642e-7,"about_ca_topic_score_gemma":0.000004461755,"domain_scores_codex":[0.9993539,0.0000103924,0.0002535926,0.0001481432,0.0001221914,0.000111722],"domain_scores_gemma":[0.9997296,0.00001263851,0.00004918166,0.0001220631,0.00005271198,0.00003381804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004404917,0.00005326989,0.00173676,0.000128631,0.0001121257,6.430831e-7,0.0004350691,0.2461375,0.7489544,0.00001022801,0.00001127392,0.002415726],"study_design_scores_gemma":[0.0001205495,0.0000167527,0.009731541,0.00001397507,0.0001096855,0.000001852479,0.00005610833,0.4161551,0.5736964,0.000004417105,0.00002362708,0.00006990454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756297,0.0007817548,0.0233245,0.00001756142,0.0000759137,0.00007524165,0.00001509738,0.00005923394,0.00002097719],"genre_scores_gemma":[0.9972094,0.0002008459,0.002437831,0.00000808523,0.00001575056,0.00001054802,0.00008090408,0.00001269762,0.00002390021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1752579,"threshold_uncertainty_score":0.4134464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004747403534115536,"score_gpt":0.1896397799646761,"score_spread":0.1848923764305606,"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."}}