{"id":"W2040542705","doi":"10.1149/05006.0253ecst","title":"Revisiting Impurity Doping of III-Nitride Materials for Photonic Device Applications","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Science Foundation","keywords":"Doping; Materials science; Photonics; Optoelectronics; Nitride; Characterization (materials science); Impurity; Light-emitting diode; Silicon nitride; Diode; Semiconductor; Nanotechnology; Engineering physics; Silicon; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009067915,0.0001119806,0.000203758,0.00004510596,0.0002082905,0.00005013158,0.0001152726,0.0000341965,0.001912778],"category_scores_gemma":[0.000001885022,0.0001066776,0.0001180972,0.0001207259,0.00002768771,0.0001774399,0.000003995632,0.00007229536,0.0000158289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528116,"about_ca_system_score_gemma":0.00004252493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006487,"about_ca_topic_score_gemma":0.000004626331,"domain_scores_codex":[0.9992328,0.00001565134,0.0003123228,0.0001755106,0.00008190333,0.0001818674],"domain_scores_gemma":[0.9993402,0.0001162808,0.0001447391,0.0001942935,0.0001534809,0.00005098143],"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":[0.00001281344,0.00007333166,0.0005542565,0.000260132,0.0002022087,4.767958e-8,0.000374603,0.000255544,0.9675469,0.01406494,0.0001317998,0.01652342],"study_design_scores_gemma":[0.0008337476,0.00002351113,0.001403576,0.0000866284,0.0001536414,0.000002092543,0.001291274,0.0006824422,0.9671956,0.01563972,0.01235572,0.0003321047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8660315,0.0001383636,0.1312066,0.0001069751,0.0001458115,0.0009206054,0.0002500456,0.00003892155,0.001161132],"genre_scores_gemma":[0.9966467,0.00000683035,0.002438097,0.0000270521,0.0002673411,0.0005091818,0.00003652764,0.00001529338,0.00005300091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306152,"threshold_uncertainty_score":0.9989996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466132651926931,"score_gpt":0.2673869303454912,"score_spread":0.2527256038262219,"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."}}