{"id":"W2086424962","doi":"10.1364/ol.35.003336","title":"High spatial resolution ellipsometer for characterization of epitaxial graphene","year":2010,"lang":"en","type":"article","venue":"Optics Letters","topic":"Graphene research and applications","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Graphene; Materials science; Ellipsometry; Refractive index; Optics; Characterization (materials science); Image resolution; Layer (electronics); Resolution (logic); Substrate (aquarium); Optoelectronics; Thin film; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002390136,0.00007862773,0.0001112583,0.00009676343,0.0001040108,0.00003819609,0.0001768412,0.0000431145,0.00008518176],"category_scores_gemma":[0.0000529837,0.00007487406,0.00006211058,0.0001292772,0.0001377571,0.0001099861,0.00002797991,0.00007916099,0.00002478421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007364035,"about_ca_system_score_gemma":0.00001948254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005642377,"about_ca_topic_score_gemma":0.00002070911,"domain_scores_codex":[0.9991754,0.00002041457,0.0002009336,0.0001825804,0.0001883608,0.0002323656],"domain_scores_gemma":[0.9994364,0.00005338153,0.0001070447,0.0002457605,0.00009160034,0.00006578512],"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":[0.00003164357,0.00003926796,0.0000952261,0.00001619261,0.00000382533,2.106151e-7,0.00002153684,0.00001845514,0.9901155,0.008907321,0.0001318485,0.0006189912],"study_design_scores_gemma":[0.0003436948,0.00006294102,0.007803109,0.000005426875,0.0000120475,0.000001115995,0.000002699983,0.0009252788,0.9887873,0.001075391,0.0008793332,0.0001016391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666397,9.589551e-7,0.1309067,0.001639974,0.0003478211,0.0002870857,0.0001371613,0.00002347916,0.00001708504],"genre_scores_gemma":[0.9697325,0.000005586804,0.02957237,0.0001471357,0.0002772362,0.00009513858,0.0001370597,0.00001273425,0.00002026142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1030927,"threshold_uncertainty_score":0.3053276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221681499682082,"score_gpt":0.2443188377438788,"score_spread":0.232102022747058,"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."}}