{"id":"W2744557603","doi":"","title":"塩水蒸気における前進バイアス操作下,InGaN/GaN LEDsの劣化","year":2016,"lang":"ja","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Light-emitting diode; Optoelectronics; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126186,0.000191306,0.0001010567,0.0002192122,0.0004893647,0.0005002746,0.0002017799,0.0002683372,0.002249467],"category_scores_gemma":[0.0001759798,0.0001648492,0.0001465039,0.0001321805,0.0004848098,0.0003528701,0.0001751068,0.0004117152,0.0007612199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071781,"about_ca_system_score_gemma":0.0003237339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009564516,"about_ca_topic_score_gemma":0.002214383,"domain_scores_codex":[0.9998519,0.000009748147,0.000005157066,0.00003940596,0.00006968172,0.00002404546],"domain_scores_gemma":[0.999915,0.00001573145,0.00001228722,0.0000107066,0.00003607343,0.00001018297],"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":[0.0001291276,0.00003775283,0.001606699,0.0001334808,0.00002124355,0.0005291034,0.0003576849,0.0009051388,0.9419431,0.01479561,0.002104571,0.03743641],"study_design_scores_gemma":[0.00001118629,0.0001041551,0.005089494,0.00001554945,0.00002959792,0.0006165016,0.0002875359,0.004061944,0.9646488,0.002748351,0.02236218,0.00002474174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506621,0.00225992,0.03035164,0.000714299,0.0003553389,0.00007373669,0.0002885024,0.0005595674,0.1147349],"genre_scores_gemma":[0.9618953,0.0006311087,0.01543569,0.0001882295,0.00003494761,0.00003105519,0.0001331955,0.00004808033,0.02160234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002249467,"threshold_uncertainty_score":0.007525265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156571570371881,"score_gpt":0.22645513840221,"score_spread":0.2148894226984912,"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."}}