{"id":"W4317938513","doi":"10.1016/j.xpro.2023.102067","title":"Protocol for fabrication of the absorption-based regenerable microporous membrane for ultrafast and energy-efficient removal of antibiotics","year":2023,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Sichuan Province; State Key Laboratory of Polymer Materials Engineering; Sichuan University; National Natural Science Foundation of China","keywords":"Microporous material; Membrane; Protocol (science); Fabrication; Absorption (acoustics); Adsorption; Materials science; Ultrashort pulse; Nanotechnology; Chemical engineering; Chemistry; Organic chemistry; Engineering; Physics; Medicine; Composite material","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":[0.000422873,0.0001100742,0.0001630782,0.00005079114,0.0001167736,0.00001196853,0.0002565189,0.00007842138,0.00004128216],"category_scores_gemma":[0.0001884999,0.00008012334,0.0000659986,0.0003735769,0.0002610075,0.00003877402,0.00006405679,0.00003758424,0.00000286448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004480121,"about_ca_system_score_gemma":0.00004054329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004372754,"about_ca_topic_score_gemma":0.00002269651,"domain_scores_codex":[0.9989579,0.0000382953,0.0003472397,0.0002491156,0.0002255472,0.0001818807],"domain_scores_gemma":[0.9991116,0.0001047064,0.0003166478,0.0003860267,0.00005827109,0.0000227694],"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":[0.0001905623,0.0001277242,0.0005286174,0.000545296,0.000006519848,2.008036e-7,0.00007435207,0.01733122,0.9757636,0.0009417261,0.001147128,0.003343041],"study_design_scores_gemma":[0.001122354,0.0002229481,0.0008123647,0.00006807519,0.000005344456,0.000001301863,0.00003730541,0.02929664,0.9447439,0.0004676885,0.02313253,0.00008956697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.07373084,5.975575e-7,0.009710289,0.0003220764,0.00002425833,0.9156269,0.0001085602,0.0001107452,0.0003657795],"genre_scores_gemma":[0.0869285,3.176803e-7,0.01404174,0.00003651104,0.00001698659,0.8978596,0.00001681003,0.00002382402,0.001075672],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03101974,"threshold_uncertainty_score":0.3267335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504687363630763,"score_gpt":0.3116246189279936,"score_spread":0.276577745291686,"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."}}