{"id":"W1987255535","doi":"10.1117/12.872890","title":"High-efficiency commercial grade 1cm<sup>2</sup>AlGaInP/GaAs/Ge solar cells with embedded InAs quantum dots for concentrator demonstration system","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"solar cell performance optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; National Research Council Canada; Cyrium Technologies (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Bank of Canada","keywords":"Suns in alchemy; Solar cell; Concentrator; Optoelectronics; Materials science; Quantum efficiency; Solar cell efficiency; Quantum dot; Absorption (acoustics); Gallium arsenide; Solar simulator; Optics; Quantum dot solar cell; Polymer solar cell; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006277472,0.0005086499,0.000563217,0.0001543965,0.0001884773,0.0002118282,0.0008422564,0.0003828164,0.000009041836],"category_scores_gemma":[0.0001763069,0.0004429893,0.0004201319,0.0004645564,0.0002605515,0.0008917368,0.00007184541,0.0005818472,0.00000265102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457122,"about_ca_system_score_gemma":0.00006168171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001034809,"about_ca_topic_score_gemma":6.691329e-7,"domain_scores_codex":[0.997286,4.20292e-8,0.0008810869,0.0004547498,0.0007317904,0.0006463566],"domain_scores_gemma":[0.997775,0.0001470239,0.0003511827,0.000105894,0.001430436,0.0001904865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001746624,0.0001741661,0.0003849048,0.001649651,0.000426014,2.342984e-7,0.0006565368,0.0494781,0.7079872,0.237166,0.001639439,0.0002630398],"study_design_scores_gemma":[0.001646035,0.000284969,0.0001479298,0.0002200496,0.0001665424,0.00001756565,0.001329398,0.7985722,0.1965212,0.00009581833,0.0005547958,0.000443478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932572,0.00004116824,0.003459941,0.0002520339,0.0006664085,0.001386067,0.0001036946,0.0003446324,0.0004888984],"genre_scores_gemma":[0.8586131,0.00004859088,0.1402048,0.00003075683,0.0006042533,0.0003073917,0.00004057785,0.000129855,0.00002069632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7490941,"threshold_uncertainty_score":0.9998022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007095074094102279,"score_gpt":0.2002537967120654,"score_spread":0.1931587226179631,"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."}}