{"id":"W2898221974","doi":"10.1002/aenm.201802419","title":"Effect of Heteroatom and Doping on the Thermoelectric Properties of Poly(3‐alkylchalcogenophenes)","year":2018,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; Qatar Foundation","keywords":"Heteroatom; Dopant; Materials science; Doping; Thermoelectric effect; Polaron; Tellurium; Seebeck coefficient; Conductivity; Inorganic chemistry; Physical chemistry; Analytical Chemistry (journal); Alkyl; Organic chemistry; Chemistry; Optoelectronics; Thermal conductivity; Thermodynamics; Metallurgy; Electron","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006958349,0.0002882671,0.0006012277,0.00009032598,0.0001620764,0.00004281855,0.000326705,0.00008037481,0.0003906478],"category_scores_gemma":[0.00009786699,0.0001610776,0.00004787722,0.0001743419,0.0003673468,0.0001675448,0.0001163707,0.00003163812,0.00001668096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878824,"about_ca_system_score_gemma":0.00002342106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373254,"about_ca_topic_score_gemma":0.000005818721,"domain_scores_codex":[0.9980139,0.0004523018,0.0005445855,0.0003636076,0.000255989,0.0003696877],"domain_scores_gemma":[0.9986752,0.000250012,0.0004711205,0.0004502377,0.000105067,0.00004834679],"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":[0.0009483224,0.0000202818,0.000005125346,0.0001400935,0.0000176232,9.197845e-7,0.0001127488,0.00001260324,0.9809349,0.007230246,0.000002304888,0.01057485],"study_design_scores_gemma":[0.0004185919,0.001442325,0.00003368457,0.0001652426,0.00002319298,0.0000082207,0.00001567943,0.00001289819,0.9964849,0.0009793955,0.0002379939,0.0001778372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967213,0.001797065,0.0002293974,0.00003445376,0.0004792626,0.0002314516,0.00002219149,0.00005719624,0.0004277014],"genre_scores_gemma":[0.9991305,0.0002379213,0.0001668728,0.0001205783,0.0001748294,0.00007669461,0.000002166413,0.00003816142,0.00005229213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555005,"threshold_uncertainty_score":0.6568556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00877204448824429,"score_gpt":0.2267029051958395,"score_spread":0.2179308607075952,"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."}}