{"id":"W2560246497","doi":"10.1017/s143192761501199x","title":"Tomographic measurement of buried interface roughness","year":2015,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Institute for Nanotechnology","funders":"","keywords":"Surface finish; Interface (matter); Plane (geometry); Materials science; Noise (video); Surface roughness; Sample (material); Optics; Tilt (camera); SIGNAL (programming language); Geometry; Computer science; Physics; Mathematics; Image (mathematics); Computer vision; 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":[0.000116753,0.0003141437,0.0003192928,0.0007173466,0.0002057483,0.000304129,0.0003126859,0.0003995415,0.001347338],"category_scores_gemma":[0.00043008,0.0003041293,0.0001408463,0.0004665387,0.0001951485,0.0005361103,0.0003375983,0.0003374273,0.0002178753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256182,"about_ca_system_score_gemma":0.0001864072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009950869,"about_ca_topic_score_gemma":0.001246572,"domain_scores_codex":[0.9998274,0.00001944467,0.000007178134,0.00003502675,0.00008994846,0.00002099216],"domain_scores_gemma":[0.9997813,0.00004298,0.00003350218,0.00002786637,0.00009786518,0.00001645573],"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":[0.00004822842,0.00001226898,0.000500913,0.0000502878,0.000006958128,0.00007318359,0.00003218023,0.0003308875,0.9926258,0.0003376396,0.0003076314,0.005673968],"study_design_scores_gemma":[0.00002885659,0.0001275362,0.0126158,0.00001397171,0.00004257258,0.0007118679,0.0001498316,0.03796308,0.9451721,0.0002862063,0.002848448,0.00003967392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892124,0.003576573,0.09605195,0.0003690128,0.0001244592,0.00007897346,0.0006580843,0.001077336,0.008851233],"genre_scores_gemma":[0.9555807,0.0005746692,0.04193847,0.00005479436,0.00001703244,0.00002825773,0.0002044804,0.00007217339,0.001529388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001347338,"threshold_uncertainty_score":0.004507303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086232893582514,"score_gpt":0.2895212972594409,"score_spread":0.2686589683236158,"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."}}