{"id":"W4409045354","doi":"10.1116/6.0004450","title":"Optimizing GaAs/AlGaAs growth on GaAs (111)B for enhanced nonlinear efficiency in quantum optical metasurfaces","year":2025,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Canada First Research Excellence Fund; Innovation, Science and Economic Development Canada","keywords":"Optoelectronics; Nonlinear system; Materials science; Nonlinear optical; Quantum; Physics; Quantum mechanics","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":[0.00116861,0.0003589551,0.0007614309,0.001346036,0.0004413373,0.0001769693,0.0009560924,0.0001934206,0.00003886668],"category_scores_gemma":[0.0001217804,0.0002694813,0.000186426,0.002029091,0.0008276838,0.0004869667,0.0001974529,0.0006764213,0.000002583095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005015341,"about_ca_system_score_gemma":0.0003528888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002671933,"about_ca_topic_score_gemma":0.000003336476,"domain_scores_codex":[0.9973699,0.00003411706,0.0008642125,0.0005929857,0.0003990791,0.0007397138],"domain_scores_gemma":[0.9983097,0.0003206853,0.0005152015,0.0003177675,0.0003938212,0.000142807],"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":[0.0004354613,0.0005443749,0.01697556,0.0000943712,0.0001815795,0.00001778963,0.0007163889,0.003199608,0.787183,0.1876477,0.0001936876,0.002810446],"study_design_scores_gemma":[0.004442239,0.002492726,0.005365693,0.0006993209,0.0002298402,0.00004296083,0.008668733,0.05764605,0.8420667,0.07619379,0.001158995,0.0009929449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902294,0.001482017,0.005179211,0.001513086,0.0007135505,0.0003167257,0.00002327313,0.00003552693,0.0005071897],"genre_scores_gemma":[0.9797961,0.0001103753,0.01987481,0.00009960358,0.0000442891,0.00001307129,0.000001787786,0.0000158154,0.00004412222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114539,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009530005287422,"score_gpt":0.2845068568672214,"score_spread":0.2744115568143471,"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."}}