{"id":"W4313893986","doi":"10.3390/membranes13010072","title":"Electrospun Silica-Polyacrylonitrile Nanohybrids for Water Treatments","year":2023,"lang":"en","type":"article","venue":"Membranes","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Polyacrylonitrile; Humic acid; Membrane; Natural organic matter; Adsorption; Chemical engineering; Materials science; Contact angle; Nanofiber; Polymer; Electrospinning; Water treatment; Polymer chemistry; Chemistry; Nanotechnology; Composite material; Organic chemistry; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492283,0.0003524976,0.0001511447,0.0002315804,0.0001237952,0.000185866,0.0001768229,0.0003603385,0.001146125],"category_scores_gemma":[0.0001105415,0.0001247484,0.0002165821,0.0001012666,0.0001101408,0.0003008136,0.0001480638,0.0003039513,0.0004210622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213786,"about_ca_system_score_gemma":0.00009287029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002017842,"about_ca_topic_score_gemma":0.0009807621,"domain_scores_codex":[0.9999019,0.000006237703,0.000006887396,0.00002893404,0.00004207662,0.00001387865],"domain_scores_gemma":[0.9999353,0.00001801941,0.00001548775,0.000005613588,0.00001683372,0.000008746239],"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":[0.000006013623,0.000005698559,0.00001966207,0.00002770771,0.000002460292,0.00002254811,0.000004343877,0.00004378132,0.9989737,0.00004200658,0.00001400649,0.0008381175],"study_design_scores_gemma":[0.000002323338,0.0000496172,0.0005817589,0.000002978892,0.000005707362,0.00007612481,0.000009664819,0.0005190095,0.9967303,0.00003418502,0.001984591,0.000003695525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543161,0.003950154,0.03467401,0.0001673317,0.0002217025,0.00009118286,0.0004118314,0.000512621,0.005655062],"genre_scores_gemma":[0.9726591,0.001289336,0.01896589,0.0001165273,0.00004095545,0.00009782703,0.0002969339,0.00004833829,0.006485185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001146125,"threshold_uncertainty_score":0.003834188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283764716699791,"score_gpt":0.2704048145445519,"score_spread":0.257567167377554,"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."}}