{"id":"W2097343097","doi":"10.1002/polb.23106","title":"Effects of poly(ethylene oxide) and pH on the electrospinning of whey protein isolate","year":2012,"lang":"en","type":"article","venue":"Journal of Polymer Science Part B Polymer Physics","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Ontario","keywords":"Electrospinning; Whey protein isolate; Ethylene oxide; Biopolymer; Polymer; Chemical engineering; Aqueous solution; Polymer chemistry; Materials science; Random coil; Fiber; Fourier transform infrared spectroscopy; Chemistry; Copolymer; Whey protein; Composite material; Organic chemistry; Circular dichroism; Chromatography; Crystallography","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":[0.0002426637,0.0004079657,0.0001749002,0.0001344954,0.0001168134,0.0002583589,0.0001279015,0.0002198976,0.0009432534],"category_scores_gemma":[0.0005511285,0.0001809256,0.0001506271,0.0001306964,0.0002414519,0.0003438345,0.0001875008,0.0003311684,0.0001350417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160226,"about_ca_system_score_gemma":0.0001069445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003424176,"about_ca_topic_score_gemma":0.0004843507,"domain_scores_codex":[0.9998449,0.00002675497,0.00001489556,0.00003953834,0.00004257562,0.0000312854],"domain_scores_gemma":[0.9996437,0.0001725504,0.00008288277,0.00001244192,0.00004451138,0.00004376976],"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":[0.00009577827,0.00001719512,0.000110483,0.00004285227,0.000005556964,0.00003065692,0.00002199988,0.00007604823,0.9987082,0.000008856804,0.000008421775,0.0008738802],"study_design_scores_gemma":[0.000006865779,0.0001549221,0.002894175,0.000005938115,0.000009891899,0.00003231049,0.00001680943,0.0004578911,0.9962057,0.000009138954,0.0002032187,0.000003228429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968827,0.0008576933,0.001078522,0.00003181042,0.00001599091,0.0000254313,0.00007484513,0.00002062865,0.001012427],"genre_scores_gemma":[0.9974485,0.0005856763,0.001281443,0.00004102923,0.000007504715,0.00001909762,0.00006755783,0.00001784052,0.0005313734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009432534,"threshold_uncertainty_score":0.00315547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008503328761515255,"score_gpt":0.2474278695888761,"score_spread":0.2389245408273608,"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."}}