{"id":"W1573402474","doi":"10.1002/mame.201300354","title":"In Situ Doped Polyaniline Nanotubes for Applications in Flexible Conductive Coatings","year":2014,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polyaniline; Materials science; Dopant; Polyaniline nanofibers; Electrical conductor; Conductive polymer; Doping; Aniline; Chemical engineering; Coating; Polyvinyl alcohol; Monomer; Polymer chemistry; Nanotechnology; Composite material; Polymer; Organic chemistry; Polymerization; Chemistry; Optoelectronics","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":[0.0001018181,0.0003115563,0.0001186904,0.0001317173,0.000125831,0.0002137978,0.0002077093,0.0003112974,0.0006580966],"category_scores_gemma":[0.0001594263,0.0001548445,0.0001223273,0.00009016648,0.0001318932,0.0003087881,0.0001074572,0.0002424505,0.0001797056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230923,"about_ca_system_score_gemma":0.00007952666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001501436,"about_ca_topic_score_gemma":0.0002935211,"domain_scores_codex":[0.999922,0.00001406867,0.000004867486,0.000018171,0.0000270883,0.00001376615],"domain_scores_gemma":[0.999864,0.00003461737,0.00003845507,0.00001601759,0.00003154933,0.00001523447],"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":[0.000008435523,0.000005372755,0.00001905,0.0000172454,9.877227e-7,0.00001451657,0.000004122303,0.0000636293,0.9992545,0.00002246641,0.000007161573,0.0005823832],"study_design_scores_gemma":[0.000001964552,0.00005104944,0.0002874483,0.000002075842,0.000003277804,0.00004491807,0.000003353322,0.0008941756,0.9981299,0.00001715449,0.000562767,0.000001773796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822473,0.001514829,0.01355531,0.00007342784,0.00004768718,0.00003370182,0.0001114425,0.0001226081,0.002293697],"genre_scores_gemma":[0.9902041,0.0006603349,0.00761866,0.00001577823,0.00001270546,0.00001762412,0.00006655698,0.00001988714,0.001384315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006580966,"threshold_uncertainty_score":0.002201557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009543463068701156,"score_gpt":0.239927584094312,"score_spread":0.2303841210256108,"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."}}