{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004319645,0.0004341971,0.0003280237,0.0002700429,0.0001876405,0.0003690052,0.0006930782,0.0002973503,0.0005143245],"category_scores_gemma":[0.0007342926,0.0002420445,0.0002140791,0.0002986669,0.0003118894,0.0005420868,0.0002535289,0.0003452917,0.0002475393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007142438,"about_ca_system_score_gemma":0.0002290758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037712,"about_ca_topic_score_gemma":0.003269829,"domain_scores_codex":[0.9996918,0.00004092144,0.00001564347,0.0001003531,0.0001152473,0.00003602238],"domain_scores_gemma":[0.9997618,0.00008080349,0.00005006243,0.00004272061,0.00005492078,0.000009696192],"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":[0.0000481967,0.00001550646,0.001736851,0.00004860984,0.00001644763,0.00002706115,0.00004093324,0.002542657,0.9934877,0.000214864,0.00002174595,0.001799357],"study_design_scores_gemma":[0.000002611081,0.00004128231,0.003254516,0.000004208703,0.00001277786,0.00002881838,0.00001299994,0.01348626,0.9828839,0.00004714088,0.0002166601,0.000008951379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822605,0.0004877873,0.0162597,0.00002345078,0.000007227426,0.00001411753,0.0001915633,0.0001443786,0.0006111156],"genre_scores_gemma":[0.9919457,0.0002850991,0.007020678,0.000009079364,0.000001914917,0.00001795608,0.0001313455,0.00004575322,0.0005424203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002037712,"threshold_uncertainty_score":0.005182207,"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."}}