{"id":"W4310363906","doi":"10.1002/adma.202206345","title":"Efficient Inverted Perovskite Solar Cells via Improved Sequential Deposition","year":2022,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Songshan Lake Materials Laboratory; National Key Research and Development Program of China; Engineering and Physical Sciences Research Council; China Oxford Scholarship Fund; Beijing Nova Program; Natural Science Foundation of Beijing Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Materials science; Perovskite (structure); Energy conversion efficiency; Optoelectronics; Deposition (geology); Fabrication; Nanotechnology; Perovskite solar cell; Chemical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001886703,0.000196736,0.0002346851,0.00007437749,0.0002783148,0.00007316241,0.0001860357,0.0000456001,0.001241632],"category_scores_gemma":[0.000005582184,0.0002189875,0.00004730401,0.0001536323,0.00002355181,0.00006837076,0.0001247816,0.00008124609,0.00008647208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867431,"about_ca_system_score_gemma":0.00001457385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003805641,"about_ca_topic_score_gemma":0.000003463068,"domain_scores_codex":[0.9988132,0.00005891232,0.0003520884,0.0002553942,0.0001956771,0.0003247882],"domain_scores_gemma":[0.999495,0.0000143196,0.0000696548,0.0003005093,0.00004925936,0.00007125724],"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":[0.00002478845,0.00003365944,2.375763e-7,0.00003930827,0.00001479,0.000003064014,0.00007523448,0.0833785,0.915363,0.00006659521,0.0001771783,0.0008237035],"study_design_scores_gemma":[0.0004270068,0.00004263529,0.00002735274,0.000006207979,0.00002099353,0.00001348117,0.00003588287,0.01956683,0.9749484,0.0001893379,0.004461448,0.0002604321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792178,0.00005277557,0.01732855,0.00003587778,0.001728951,0.0004586662,0.000425101,0.0005053686,0.0002469639],"genre_scores_gemma":[0.9966906,0.00002042496,0.002177566,0.0001345787,0.0001287128,0.0005503344,0.0002018897,0.00006350418,0.00003242862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06381167,"threshold_uncertainty_score":0.9996713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005068875738986987,"score_gpt":0.1993443642207489,"score_spread":0.194275488481762,"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."}}