{"id":"W4410495326","doi":"10.1002/aelm.202570022","title":"Effect of Interlayer on Doped Organic p–n Heterojunction Charge Generation Layers Using Impedance Spectroscopy (Adv. Electron. Mater. 7/2025)","year":2025,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Materials science; Dielectric spectroscopy; Heterojunction; Doping; Optoelectronics; Electron; Electrical impedance; Electrode; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006896947,0.0003638318,0.0005645876,0.0001765914,0.0002409227,0.000103863,0.0003098304,0.0001169421,0.00110878],"category_scores_gemma":[0.00007286508,0.0003261561,0.00008899268,0.0003754127,0.00006985525,0.0002644633,0.00007094318,0.0001525237,0.0001117238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004590011,"about_ca_system_score_gemma":0.0001658386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007135271,"about_ca_topic_score_gemma":0.00002004752,"domain_scores_codex":[0.9974429,0.0002808937,0.0006261083,0.0006584452,0.0002174536,0.0007741803],"domain_scores_gemma":[0.9988177,0.00009600609,0.0003826483,0.0005790766,0.00007338038,0.00005117941],"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":[0.000436038,0.00004809564,0.00001159828,0.00009681664,0.00002885412,4.780397e-7,0.00003728303,0.0001080692,0.9968679,0.001604596,0.0001067629,0.000653534],"study_design_scores_gemma":[0.0008421221,0.000827473,0.00001032639,0.00009308736,0.00007289812,0.000005673559,0.000008376,0.0001057507,0.9971206,0.0002316388,0.0004342012,0.0002478131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994407,0.0003578192,0.002710652,0.0001256373,0.001254235,0.0007907233,0.00002508097,0.0001574813,0.0001714019],"genre_scores_gemma":[0.9983718,0.0001170857,0.0002704689,0.0001440971,0.0001899643,0.0001580356,0.00004518162,0.00004581339,0.0006575243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00396486,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009335872157493,"score_gpt":0.3099191546738471,"score_spread":0.2998257959522722,"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."}}