{"id":"W1990217071","doi":"10.1016/j.micron.2008.07.006","title":"Measuring the dielectric constant of materials from valence EELS","year":2008,"lang":"en","type":"article","venue":"Micron","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Dielectric; Valence (chemistry); Materials science; Electron energy loss spectroscopy; Normalization (sociology); Valence electron; Dielectric loss; Spectroscopy; Condensed matter physics; Computational physics; Electron; Optoelectronics; Nanotechnology; Physics; Quantum mechanics; Transmission electron microscopy","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":[0.0002839242,0.0005030645,0.0002115632,0.0009040009,0.0003000228,0.0009814239,0.000607956,0.0005225225,0.002065735],"category_scores_gemma":[0.0009152318,0.0002978539,0.0001787922,0.0007692764,0.0003692245,0.001088733,0.0005035062,0.0008676015,0.0007967633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204611,"about_ca_system_score_gemma":0.0001363738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002820819,"about_ca_topic_score_gemma":0.0005996781,"domain_scores_codex":[0.9997707,0.00002255321,0.000007930137,0.00005007295,0.0001108675,0.00003789847],"domain_scores_gemma":[0.9995669,0.0001787394,0.00007816384,0.00005466986,0.00009829846,0.00002326795],"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":[0.0001005593,0.00002130283,0.001139187,0.00009879332,0.00002232126,0.00005105416,0.0000751519,0.0002210129,0.9876018,0.001348792,0.0002236697,0.009096356],"study_design_scores_gemma":[0.000004473592,0.00003808145,0.002709137,0.00001088583,0.00001940393,0.0001672893,0.00006756871,0.001028755,0.9932206,0.0005696504,0.002153833,0.00001027932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9066352,0.002977283,0.07156182,0.0002260163,0.0001359829,0.00002523127,0.0009319411,0.0008587684,0.01664767],"genre_scores_gemma":[0.9765038,0.002043072,0.01588511,0.0001906406,0.00002680838,0.00002135242,0.0007583468,0.0001726063,0.004398287],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002065735,"threshold_uncertainty_score":0.006910622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555844624322088,"score_gpt":0.1895200670012091,"score_spread":0.1639616207579882,"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."}}