{"id":"W4307030595","doi":"10.1002/adfm.202207723","title":"Metal‐Organic Frameworks and Electrospinning: A Happy Marriage for Wastewater Treatment","year":2022,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia; Canada Research Chairs","keywords":"Materials science; Electrospinning; Metal-organic framework; Nanofiber; Wastewater; Adsorption; Photodegradation; Metal ions in aqueous solution; Nanotechnology; Sewage treatment; Aqueous solution; Water treatment; Portable water purification; Photocatalysis; Waste management; Chemical engineering; Metal; Polymer; Composite material; Organic chemistry; Catalysis; Metallurgy; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000169562,0.0002507459,0.0003592962,0.00004489606,0.0005354275,0.00007211207,0.0001313316,0.0001480237,0.02600376],"category_scores_gemma":[0.0001035541,0.0002262155,0.00009407038,0.000105118,0.00004151824,0.00009630147,0.0001023126,0.0001760142,0.00002550724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649747,"about_ca_system_score_gemma":0.00004269446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005117771,"about_ca_topic_score_gemma":8.581571e-7,"domain_scores_codex":[0.9985715,0.00003250329,0.0003638613,0.0005037917,0.0001972018,0.0003311009],"domain_scores_gemma":[0.9990593,0.0002761189,0.0001749396,0.0003682584,0.00003865315,0.00008278866],"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":[0.0002060656,0.0001263233,0.00001475748,0.00003155888,0.0001253995,0.000001133073,0.00004184272,0.00008259321,0.9905149,0.007032928,0.0003091338,0.001513339],"study_design_scores_gemma":[0.0006358531,0.0001378065,0.00007664557,0.00001645919,0.0001085337,0.000030274,0.0001533891,0.00003637191,0.9163287,0.009379392,0.07283634,0.0002601774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913517,0.0006212496,0.004785691,0.001168126,0.0005365363,0.0004653057,0.0004992282,0.000155197,0.0004169881],"genre_scores_gemma":[0.9874988,0.00008368015,0.004279437,0.0002774381,0.0003568675,0.002753867,0.0003475576,0.00006997688,0.004332326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07418617,"threshold_uncertainty_score":0.9748866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371478093003831,"score_gpt":0.2369618947050223,"score_spread":0.223247113774984,"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."}}