{"id":"W2008509137","doi":"10.1163/016942409x12561252292189","title":"Poly(3,4-ethylenedioxythiophene):Poly(styrene sulfonate) Inkjet Inks Doped with Carbon Nanotubes and a Polar Solvent: The Effect of Formulation and Adhesion on Conductivity","year":2010,"lang":"en","type":"article","venue":"Journal of Adhesion Science and Technology","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Poly(3,4-ethylenedioxythiophene); Styrene; Sulfonate; Solvent; Doping; Carbon nanotube; Conductivity; Chemical engineering; Polymer chemistry; Polar; Conductive polymer; Adhesion; Copolymer; Nanotechnology; Composite material; Polymer; Organic chemistry; Optoelectronics; Sodium; Chemistry; Physical 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":[0.0002278868,0.0003953305,0.0002972398,0.0002763022,0.0001292839,0.0004213678,0.0002554581,0.0004471628,0.0006224731],"category_scores_gemma":[0.0002984423,0.0002274963,0.000236875,0.000331356,0.0001857011,0.0002936597,0.0001683709,0.0003861273,0.0002773934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762436,"about_ca_system_score_gemma":0.0001325653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378948,"about_ca_topic_score_gemma":0.0003719758,"domain_scores_codex":[0.9996814,0.00004188879,0.00004419607,0.00007203867,0.0001127816,0.000047756],"domain_scores_gemma":[0.9996892,0.0001160549,0.00007859096,0.00002531745,0.00004637286,0.00004451719],"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":[0.00002299906,0.00001026,0.00002532054,0.00002466204,0.000001844919,0.00003761716,0.000005903983,0.00005888269,0.9991099,0.00001666694,0.000006478836,0.0006794095],"study_design_scores_gemma":[0.000003030203,0.00007051931,0.0003463074,0.000001963568,0.000005990672,0.00003761134,0.000003529138,0.0004758151,0.9988103,0.000006238076,0.000236614,0.00000222994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898227,0.001326455,0.007139688,0.00003627182,0.0000659759,0.0000323071,0.00008695358,0.0001129083,0.001376693],"genre_scores_gemma":[0.9833077,0.001154873,0.01151275,0.00003756926,0.00002243845,0.00005425753,0.0001354367,0.00005856878,0.003716395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006224731,"threshold_uncertainty_score":0.002082407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007603851308223338,"score_gpt":0.2289863507337361,"score_spread":0.2213824994255128,"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."}}