{"id":"W3184632498","doi":"10.1063/5.0054477","title":"Rationalizing the enhancement of the thermoelectric properties of PEDOT:PSS by secondary doping","year":2021,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Research Foundation of Korea","keywords":"Dopant; X-ray photoelectron spectroscopy; PEDOT:PSS; Materials science; Crystallinity; Seebeck coefficient; Thermoelectric effect; Doping; Analytical Chemistry (journal); Ultraviolet photoelectron spectroscopy; Chemical engineering; Chemistry; Nanotechnology; Optoelectronics; Organic chemistry; Composite material; Layer (electronics)","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":[0.0001015954,0.0003959068,0.0002235257,0.0001465356,0.0001300329,0.0002949611,0.0001500138,0.0002590204,0.0003962338],"category_scores_gemma":[0.0001352684,0.0001378456,0.0002222739,0.0001322396,0.0001695973,0.0002170286,0.0001549606,0.0003421068,0.0002330187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238698,"about_ca_system_score_gemma":0.0001648808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002721253,"about_ca_topic_score_gemma":0.0004786245,"domain_scores_codex":[0.9999481,0.000004369434,0.000004982846,0.00001226327,0.00001536691,0.00001478354],"domain_scores_gemma":[0.9999546,0.00001121448,0.00001005195,0.000005026291,0.00001200201,0.000007082929],"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":[0.000007852969,0.000003988011,0.00002902354,0.0000196402,8.065394e-7,0.00001975476,0.000003884656,0.0001045389,0.9993601,0.0000420665,0.000005248936,0.000403003],"study_design_scores_gemma":[0.000001582537,0.00005661011,0.0002684089,0.000001844307,0.000004100431,0.00003102309,0.000004272901,0.001091706,0.9980019,0.00002098781,0.0005166198,0.000001077512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891092,0.001031026,0.008128247,0.00007623281,0.00003047575,0.00004836262,0.0001719516,0.0000756247,0.001328972],"genre_scores_gemma":[0.9882177,0.001171566,0.009134716,0.00002335433,0.000008729137,0.00003859905,0.0001726175,0.00002260757,0.001210209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003962338,"threshold_uncertainty_score":0.001731932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108732990285145,"score_gpt":0.2042034768242017,"score_spread":0.1933301777956872,"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."}}