{"id":"W3093399565","doi":"10.1021/acsomega.0c04361","title":"Correction to “Life-Cycle Assessment of Gingko-Wood Three-Dimensional Membrane for Wastewater Treatment”","year":2020,"lang":"en","type":"erratum","venue":"ACS Omega","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Life-cycle assessment; Wastewater; Environmental science; Pulp and paper industry; Psychology; Information retrieval; Engineering; Computer science; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006210512,0.0003159968,0.0004660973,0.0001749356,0.000076713,0.00004762405,0.0001268148,0.0002321807,0.0001055598],"category_scores_gemma":[0.00006115813,0.0002928798,0.0001403726,0.0002129836,0.00001357702,0.0001515267,0.00002128493,0.0002746806,0.00005303491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649006,"about_ca_system_score_gemma":0.0001938465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003033635,"about_ca_topic_score_gemma":0.0001955439,"domain_scores_codex":[0.998768,0.00001330879,0.0004113699,0.0003112308,0.0002694528,0.0002266327],"domain_scores_gemma":[0.9992866,0.0001112016,0.0001061922,0.0002148988,0.0001220279,0.0001591063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003343886,0.00006915807,0.000007754887,0.000330552,0.0002217663,0.00000197376,0.0001049157,0.04841354,0.004334946,0.0000462305,0.9455213,0.0009144493],"study_design_scores_gemma":[0.0005791335,0.0003487876,0.0001173221,0.0001286843,0.0001197731,0.00000566369,0.00003495489,0.1025492,0.009798686,0.00004953061,0.8859191,0.0003491553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.05385005,0.004796778,0.03395981,0.009365111,0.4962537,0.008481658,0.001595368,0.004173297,0.3875242],"genre_scores_gemma":[0.5931686,0.0004083702,0.003711227,0.0008552428,0.003560031,0.0008254017,0.00319942,0.0003296422,0.3939421],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5393186,"threshold_uncertainty_score":0.9999523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984868443326485,"score_gpt":0.2787167040156213,"score_spread":0.2588680195823564,"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."}}