{"id":"W1977629677","doi":"10.1080/14786430310001659507","title":"Structural and chemical analysis of a model Si–SiO<sub>2</sub>interface using spatially resolved electron-energy-loss spectroscopy","year":2004,"lang":"en","type":"article","venue":"The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electron energy loss spectroscopy; Scanning transmission electron microscopy; Spectroscopy; Amorphous solid; High resolution electron energy loss spectroscopy; Dielectric; Transmission electron microscopy; Materials science; Molecular physics; Spectral line; Valence electron; Electron; Analytical Chemistry (journal); Atomic physics; Chemistry; Nanotechnology; Optoelectronics; Crystallography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006455249,0.0001718327,0.0001045653,0.0001202356,0.0001469714,0.0001828733,0.0001828684,0.0002132219,0.001018511],"category_scores_gemma":[0.0001118555,0.00009773023,0.00009387874,0.0001151218,0.000155944,0.0002022382,0.00007724865,0.000129954,0.0001106293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681646,"about_ca_system_score_gemma":0.00007582569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006922817,"about_ca_topic_score_gemma":0.0009321185,"domain_scores_codex":[0.9999666,0.000002941484,0.00000151108,0.000009303497,0.00001433347,0.000005309452],"domain_scores_gemma":[0.9999537,0.00001065381,0.00000916615,0.000004801567,0.00001513264,0.000006435582],"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":[0.00004266343,0.00001004948,0.0002835298,0.00001519805,0.000002624699,0.00002960558,0.000009928615,0.0003838823,0.9988531,0.00004691934,0.00001337185,0.0003091106],"study_design_scores_gemma":[0.00001660809,0.0002088677,0.009195688,0.000003002642,0.00001099377,0.00007533052,0.00008406909,0.014489,0.9752495,0.00007541391,0.0005860921,0.000005352634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976538,0.00007260299,0.001442102,0.00001528585,0.000003550273,0.000005659271,0.0001147355,0.00002081087,0.0006715246],"genre_scores_gemma":[0.9971977,0.00005734714,0.002021249,0.00001075893,0.000001760822,0.00000681312,0.0001690638,0.000008075632,0.0005271931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001018511,"threshold_uncertainty_score":0.0034073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196867780766867,"score_gpt":0.2453056197485416,"score_spread":0.233336941940873,"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."}}