{"id":"W2014552670","doi":"10.1002/adma.201204502","title":"Graded Doping for Enhanced Colloidal Quantum Dot Photovoltaics","year":2013,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"King Abdullah University of Science and Technology","keywords":"Homojunction; Materials science; Doping; Quantum dot; Photovoltaics; Optoelectronics; Nanotechnology; Energy conversion efficiency; Multiple exciton generation; Photovoltaic system; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000570241,0.0003148455,0.0005693799,0.00006571737,0.000304309,0.0003604987,0.000383149,0.000116993,0.002970403],"category_scores_gemma":[0.0004177383,0.0002495698,0.00009001532,0.00009206708,0.0001265871,0.0007185774,0.00009236131,0.00004634072,0.0008754752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007418697,"about_ca_system_score_gemma":0.00006551603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001742236,"about_ca_topic_score_gemma":0.000009978107,"domain_scores_codex":[0.9977453,0.0001053343,0.0006407945,0.0005248563,0.0003063352,0.0006773237],"domain_scores_gemma":[0.9986383,0.0002360618,0.000282965,0.0004381986,0.0002842262,0.0001202349],"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":[0.0001460112,0.00003815391,0.000001421832,0.0001320071,0.00000832472,6.292009e-7,0.0001719406,0.0000201383,0.99601,0.001999622,0.0008958817,0.0005758686],"study_design_scores_gemma":[0.0006547214,0.0001719533,0.00005169907,0.00009907364,0.00001618156,0.000003447092,0.0001849735,0.00001997536,0.9808384,0.01068478,0.006882279,0.0003924831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943404,0.0002264726,0.0009936097,0.0001836766,0.002149448,0.001456701,0.000134408,0.0002456879,0.000269577],"genre_scores_gemma":[0.9893065,0.00009857213,0.007919119,0.0003246928,0.0002556326,0.001406272,0.00001985419,0.0000637345,0.0006055927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01517157,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104906493428152,"score_gpt":0.2527244221730619,"score_spread":0.2316753572387804,"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."}}