{"id":"W3012678162","doi":"10.1021/acsenergylett.0c00068","title":"A Taxonomy for Three-Terminal Tandem Solar Cells","year":2020,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"solar cell performance optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Gender and Health; Office of Energy Efficiency; U.S. Department of Energy; Solar Energy Technologies Program; Office of Energy Efficiency and Renewable Energy; Bundesministerium für Wirtschaft und Energie","keywords":"Tandem; Terminal (telecommunication); Computer science; Solar cell; Optoelectronics; Engineering; Materials science; Computer network; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007443232,0.0009159244,0.0009121656,0.003322068,0.002459364,0.004234225,0.002636239,0.002546006,0.004831198],"category_scores_gemma":[0.001243066,0.0004199242,0.001100486,0.004749318,0.001693425,0.005255921,0.001775292,0.003275885,0.004384942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988192,"about_ca_system_score_gemma":0.001672049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567541,"about_ca_topic_score_gemma":0.002475076,"domain_scores_codex":[0.9989416,0.0001165869,0.0001470654,0.000194755,0.0004699917,0.0001299884],"domain_scores_gemma":[0.9992577,0.000106678,0.00006110995,0.0001019112,0.0004106042,0.00006197731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000425248,0.00009179016,0.0007300309,0.0009684784,0.0000158834,0.0003941181,0.001174818,0.00375178,0.01149928,0.7708778,0.0401943,0.1702591],"study_design_scores_gemma":[0.000004433217,0.00006046735,0.0002517914,0.0004279513,0.000008664799,0.0007412463,0.000351704,0.003424012,0.002484847,0.09279689,0.8994038,0.00004430975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01979683,0.1182231,0.3957797,0.007389691,0.004631646,0.0008450007,0.003072678,0.002078793,0.4481827],"genre_scores_gemma":[0.1722587,0.1830319,0.500109,0.00612594,0.001826239,0.001686005,0.006981321,0.0009982057,0.1269826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004831198,"threshold_uncertainty_score":0.01616198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708575400086098,"score_gpt":0.1743733320432179,"score_spread":0.157287578042357,"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."}}