{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003513125,0.0001968162,0.0002509318,0.0001183807,0.0003598412,0.00007029021,0.0003888921,0.00009868585,0.0005201519],"category_scores_gemma":[0.00002445287,0.000135978,0.0001125472,0.000424441,0.0001464763,0.0001043877,0.00007153915,0.00005564842,0.002951537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006863279,"about_ca_system_score_gemma":0.00004012186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002597293,"about_ca_topic_score_gemma":0.000005169827,"domain_scores_codex":[0.9981034,0.00003405787,0.0002839416,0.0004757685,0.0002949312,0.0008078778],"domain_scores_gemma":[0.9991658,0.0001792526,0.00004554273,0.0004114765,0.00006649658,0.0001314137],"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":[0.00003294599,0.00006676015,0.00005528806,0.00004368686,0.00001577822,0.000003179421,0.00009421146,0.000002874379,0.9900687,0.0005361447,0.00822596,0.0008544652],"study_design_scores_gemma":[0.000534899,0.0001294179,0.0001257492,0.00000641747,0.00003188761,0.000009258851,0.000009766391,0.0001226935,0.9171433,0.004436768,0.07727542,0.0001744323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912858,0.0001682436,0.001689392,0.003390613,0.0004801678,0.001006979,0.0001288451,0.00101092,0.0008390173],"genre_scores_gemma":[0.9447262,0.0002306069,0.01362959,0.0009034976,0.0007732009,0.003655628,0.0008552564,0.000143744,0.03508232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07292541,"threshold_uncertainty_score":0.9978248,"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."}}