{"id":"W3213458344","doi":"10.1016/j.cej.2021.133531","title":"Kinetics and characterization of preparing conductive nanofibrous membrane by In-situ polymerization of Polypyrrole on electrospun nanofibers","year":2021,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polymerization; Polyacrylonitrile; Polypyrrole; Materials science; Nanofiber; Chemical engineering; Monomer; Polymer chemistry; Kinetics; In situ polymerization; Interfacial polymerization; Pyrrole; Electrospinning; Polymer; Chemistry; Composite material; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000270423,0.0003371557,0.0002178059,0.0001883657,0.000191153,0.0002959464,0.0002704516,0.0003451477,0.001542697],"category_scores_gemma":[0.0004362761,0.0002379146,0.0002840908,0.000118018,0.0001460397,0.0004856352,0.0001086496,0.0005188571,0.0004710998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029607,"about_ca_system_score_gemma":0.0001823393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007872484,"about_ca_topic_score_gemma":0.0007275826,"domain_scores_codex":[0.9998139,0.0000139931,0.00001140227,0.00005121267,0.00006004717,0.00004945162],"domain_scores_gemma":[0.9997321,0.0001117633,0.00006132338,0.00002470216,0.00004108831,0.00002899525],"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":[0.00002920248,0.000009203272,0.00003168228,0.00001898573,0.000002061983,0.00002459074,0.00001188575,0.0000712326,0.9992884,0.00003687577,0.00001599264,0.0004599024],"study_design_scores_gemma":[0.000001881854,0.00002166302,0.0003114771,0.0000011021,0.000001825407,0.00001746899,0.000003553311,0.0005982966,0.9988501,0.000009215109,0.000181741,0.00000171821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832758,0.0007092975,0.0126688,0.0001218113,0.00005382287,0.00004740267,0.0003463065,0.0002251532,0.002551502],"genre_scores_gemma":[0.9927198,0.0003643146,0.003973233,0.00002302374,0.00001097605,0.00003264438,0.0002109604,0.00004322823,0.002621846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001542697,"threshold_uncertainty_score":0.005160809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004789037048713049,"score_gpt":0.2019255214802186,"score_spread":0.1971364844315056,"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."}}