{"id":"W2999091750","doi":"10.1002/adfm.201907357","title":"Exploiting Phonon‐Resonant Near‐Field Interaction for the Nanoscale Investigation of Extended Defects","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"U.S. Naval Research Laboratory; Office of Naval Research; Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Deutsche Forschungsgemeinschaft","keywords":"Materials science; Semiconductor; Near-field scanning optical microscope; Phonon; Nanoscopic scale; Photonics; Photoluminescence; Optoelectronics; Infrared; Terahertz radiation; Optics; Nanotechnology; Optical microscope; Scanning electron microscope; Condensed matter physics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008451874,0.0001152211,0.0001600947,0.0000156323,0.00008408889,0.00003961578,0.00007584602,0.00005891075,0.0002243789],"category_scores_gemma":[0.0002764097,0.00009473529,0.00005122761,0.00008522032,0.00003211769,0.0002094453,0.00002499348,0.00007746633,0.0000247892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000240657,"about_ca_system_score_gemma":0.00001575413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004579201,"about_ca_topic_score_gemma":0.000001496384,"domain_scores_codex":[0.9992978,0.00001694694,0.0002814885,0.0001498311,0.0001010274,0.0001528874],"domain_scores_gemma":[0.9992222,0.0004957139,0.00006476867,0.0001042732,0.00006155262,0.00005146073],"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":[0.00019658,0.000004489044,0.00001694908,0.0001092357,0.00002083631,2.923396e-7,0.0001065525,0.007208858,0.9891196,0.0005808705,0.0006026063,0.002033157],"study_design_scores_gemma":[0.0003435589,0.0001200089,0.000803434,0.00004518589,0.00001974401,0.000001944841,0.00009074291,0.003208028,0.9924012,0.0007845016,0.002080632,0.000100981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366422,0.0001013757,0.06032152,0.000639311,0.001686955,0.0003609984,0.00002806673,0.0001303002,0.00008930929],"genre_scores_gemma":[0.9917444,0.00002413764,0.007144574,0.0006433936,0.0002534824,0.0001296853,0.00002301098,0.00002658146,0.000010754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05510222,"threshold_uncertainty_score":0.3863193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214050455291821,"score_gpt":0.2367818189534973,"score_spread":0.2146413144005791,"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."}}