{"id":"W2039723640","doi":"10.1117/12.2000731","title":"SSRM and SCM study for doping concentration of THz QCL devices","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dopant; Materials science; Spreading resistance profiling; Optoelectronics; Doping; Microscopy; Atomic force microscopy; Scanning capacitance microscopy; Nanometre; Profiling (computer programming); Nanotechnology; Optics; Scanning electron microscope; Scanning confocal electron microscopy; Physics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641696,0.0003250643,0.0003648527,0.0005782334,0.0003901943,0.0003802759,0.0004677291,0.0005801578,0.001599637],"category_scores_gemma":[0.0008268318,0.0001852521,0.0002181314,0.0004880641,0.0003843375,0.0004644667,0.0002328033,0.0005273215,0.0003624665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006841906,"about_ca_system_score_gemma":0.0002130171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169352,"about_ca_topic_score_gemma":0.001726,"domain_scores_codex":[0.9996692,0.00002186098,0.00001217097,0.0000806458,0.0001885619,0.00002759242],"domain_scores_gemma":[0.9993644,0.0002131194,0.0001326395,0.00006653076,0.0001937582,0.00002959343],"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":[0.00003568169,0.00001601242,0.0004648372,0.0000681876,0.000004995907,0.00009641999,0.0001770986,0.000277615,0.9960184,0.0004334511,0.000154816,0.002252582],"study_design_scores_gemma":[0.000009994845,0.0001156485,0.003666138,0.00001359406,0.00001041088,0.0001817915,0.0001050042,0.01442044,0.9797515,0.000147904,0.001558639,0.00001894432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830679,0.001314756,0.00998246,0.0003641084,0.00004890424,0.0000372063,0.0007019527,0.0002832203,0.00419958],"genre_scores_gemma":[0.9918979,0.0003421337,0.005795281,0.00005915486,0.00002441768,0.00003639826,0.0001356278,0.00003626255,0.001672773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00169352,"threshold_uncertainty_score":0.005351305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345224905902665,"score_gpt":0.2587825378717148,"score_spread":0.2453302888126881,"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."}}