{"id":"W2604857233","doi":"10.1016/j.matdes.2017.04.016","title":"Enhanced radiation resistance of near-infrared photoluminescence emission induced by Er/Si nanoclustering","year":2017,"lang":"en","type":"article","venue":"Materials & Design","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanoclusters; Photoluminescence; Spectroscopy; Irradiation; Radiation; Transmission electron microscopy; Infrared; Annealing (glass); Proton; Optoelectronics; Monte Carlo method; Analytical Chemistry (journal); Optics; Nanotechnology; 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":[0.0007637126,0.0003315112,0.0005743392,0.00004862146,0.0006970886,0.0006746385,0.001070137,0.000223442,0.0008732747],"category_scores_gemma":[0.0005568386,0.0003092716,0.00006139333,0.00009446019,0.0002372433,0.0005907703,0.0001916873,0.0000775376,0.0000460097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006045329,"about_ca_system_score_gemma":0.0001419084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003428603,"about_ca_topic_score_gemma":0.00000882811,"domain_scores_codex":[0.9974985,0.0002460609,0.0007227412,0.0006133495,0.0004318416,0.000487534],"domain_scores_gemma":[0.9973576,0.0001040794,0.001034488,0.001202198,0.0001568063,0.0001447955],"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":[0.0003687801,0.00002791757,0.00005340193,0.0001272018,0.000005535223,0.000004523735,0.0003343715,0.000002574646,0.9969385,0.0000181409,0.001777974,0.0003410591],"study_design_scores_gemma":[0.0007153695,0.00008645404,0.002261755,0.0002452564,0.00001803902,0.000004042105,0.00001921125,0.00003896516,0.9955998,0.0001493864,0.000513542,0.0003481965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995799,0.0001426866,0.001157054,0.0000629235,0.001703582,0.0006575928,0.0001119302,0.00009032173,0.0002748753],"genre_scores_gemma":[0.9971166,0.0000419406,0.001636723,0.00007007644,0.0001266904,0.00006502262,0.00001841693,0.00004266642,0.000881862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002208353,"threshold_uncertainty_score":0.9999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955515844819803,"score_gpt":0.2579009147509627,"score_spread":0.2383457563027647,"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."}}