{"id":"W3133454390","doi":"10.1002/adfm.202010572","title":"Band Engineering via Gradient Molecular Dopants for CsFA Perovskite Solar Cells","year":2021,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Naval Research","keywords":"Materials science; Perovskite (structure); Dopant; Formamidinium; Diffusion; Energy conversion efficiency; Photovoltaic system; Perovskite solar cell; Optoelectronics; Band bending; Solar cell; Thermal stability; Chemical physics; Nanotechnology; Engineering physics; Doping; Chemical engineering; Chemistry; Thermodynamics; Electrical engineering","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"],"consensus_categories":[],"category_scores_codex":[0.00009480881,0.0002291711,0.0002738936,0.00005677944,0.00009050734,0.00009226053,0.00008718325,0.00008041757,0.0004027495],"category_scores_gemma":[0.00002857045,0.0002487962,0.00007875452,0.0001200657,0.00001461165,0.0001608932,0.0000274002,0.00004941049,0.0000733186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006135501,"about_ca_system_score_gemma":0.00001747949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002503376,"about_ca_topic_score_gemma":0.000001299783,"domain_scores_codex":[0.9988767,0.00001307342,0.0003344397,0.0002982235,0.0001365867,0.0003409667],"domain_scores_gemma":[0.9994195,0.00005302627,0.00004046095,0.0002573458,0.0001345129,0.00009520871],"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":[0.00001803515,0.00002620224,0.000001184915,0.0001165128,0.00004192616,0.000005916359,0.00001241101,0.06248204,0.9356745,0.0009245321,0.0002831488,0.0004135797],"study_design_scores_gemma":[0.0004448967,0.00002335098,0.0002498175,0.00003057416,0.00002785724,0.00002005887,0.000008124303,0.00084585,0.9757496,0.0008144895,0.02151062,0.0002748108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8577127,0.0002336516,0.1382676,0.00006291368,0.00252255,0.0002988262,0.0005061061,0.000273494,0.0001221221],"genre_scores_gemma":[0.9906964,0.00009539857,0.007797357,0.0001070254,0.000258095,0.000429727,0.0004478639,0.00007728165,0.00009085438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329837,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005883066083105782,"score_gpt":0.1852644055127117,"score_spread":0.1793813394296059,"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."}}