{"id":"W2884520095","doi":"10.1103/physrevb.98.195201","title":"Highly enriched <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Si</mml:mi><mml:mprescripts/><mml:none/><mml:mn>28</mml:mn></mml:mmultiscripts></mml:math> reveals remarkable optical linewidths and fine structure for well-known damage centers","year":2018,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Luminescence; Silicon; Center (category theory); Absorption (acoustics); Materials science; Analytical Chemistry (journal); Physics; Chemistry; Optoelectronics; Crystallography; Optics","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":[0.0003059267,0.0007352596,0.0003214497,0.0005086159,0.0003620288,0.0008615875,0.0008960591,0.000580223,0.04169898],"category_scores_gemma":[0.0004792159,0.0004637822,0.0003800198,0.0005994695,0.0002555526,0.0008228116,0.0005448301,0.001204056,0.01797911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006355228,"about_ca_system_score_gemma":0.0003666359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558064,"about_ca_topic_score_gemma":0.003194576,"domain_scores_codex":[0.9997333,0.00002945026,0.00002038785,0.00008077036,0.00009798777,0.00003820208],"domain_scores_gemma":[0.999744,0.0000851362,0.00002731782,0.00007953325,0.00004419533,0.00001983307],"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":[0.000441687,0.0000935852,0.0006829799,0.0003249331,0.00002402218,0.0003466854,0.0001188303,0.000731237,0.9373555,0.004805525,0.019599,0.03547601],"study_design_scores_gemma":[0.0000329621,0.00007333109,0.002320403,0.0000282229,0.00002234378,0.0002793848,0.00004827979,0.00407428,0.8519742,0.001047654,0.1400567,0.00004219931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4693958,0.001491985,0.189147,0.002001632,0.0004901753,0.0003277474,0.07018308,0.06841224,0.1985504],"genre_scores_gemma":[0.5331358,0.001538227,0.1889168,0.00135644,0.00008968469,0.0005231774,0.1241347,0.01950423,0.1308008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04169898,"threshold_uncertainty_score":0.139497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647040807993928,"score_gpt":0.2729302296285044,"score_spread":0.2564598215485651,"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."}}