{"id":"W2623901937","doi":"10.1063/1.4984967","title":"Absolute measurement of effective radiative-efficiency in GaAs grown with molecular-beam-epitaxy","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"solar cell performance optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Molecular beam epitaxy; Radiative transfer; Photoluminescence; Deep-level transient spectroscopy; Doping; Materials science; Spectroscopy; Analytical Chemistry (journal); Epitaxy; Molecular beam; Characterization (materials science); Atmospheric temperature range; Spontaneous emission; Chemistry; Optoelectronics; Optics; Physics; Silicon; Molecule; Nanotechnology; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002970681,0.0001282595,0.0002611853,0.00006774691,0.00004733328,0.00002753626,0.0002034755,0.00003996648,0.000002769392],"category_scores_gemma":[0.00001222078,0.000110658,0.00005276675,0.0001118954,0.0000501932,0.0002223019,0.00001799648,0.0002245551,0.00000269797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488137,"about_ca_system_score_gemma":0.00003932338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002930465,"about_ca_topic_score_gemma":0.000002057313,"domain_scores_codex":[0.9991171,0.000008130603,0.0002602414,0.00007610986,0.0003868836,0.0001514943],"domain_scores_gemma":[0.9992343,0.00001629824,0.0003488322,0.0002133246,0.0001444323,0.00004284814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007318884,0.00006472191,0.0004201196,0.00005586825,0.00007197935,0.000005220894,0.000525984,0.9451895,0.05003733,0.000186273,0.0000176836,0.003352084],"study_design_scores_gemma":[0.003278293,0.0003592747,0.04413866,0.0002931671,0.00009885684,0.000006543669,0.0001294215,0.5237073,0.426845,0.0007237752,0.00006028981,0.0003594889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919965,0.0001134099,0.09809005,0.000005421356,0.0001353889,0.0003690782,0.000001397727,0.000012738,0.009276025],"genre_scores_gemma":[0.9968394,0.00003966538,0.003003506,0.000004961084,0.00007420527,0.00001149084,5.32732e-7,0.0000252952,9.441085e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4214823,"threshold_uncertainty_score":0.4512501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007982946845289583,"score_gpt":0.2018560419986955,"score_spread":0.1938730951534059,"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."}}