{"id":"W2897418325","doi":"10.1364/ol.43.004997","title":"Terahertz microscopy assisted by semiconductor nonlinearities","year":2018,"lang":"en","type":"article","venue":"Optics Letters","topic":"Terahertz technology and applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Terahertz radiation; Semiconductor; Materials science; Microscopy; Terahertz spectroscopy and technology; Optoelectronics; Nonlinear optics; Near-field scanning optical microscope; Optical microscope; Laser; Physics; Scanning electron microscope","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":[0.00002752765,0.0001158748,0.00009322458,0.00004373661,0.000083885,0.00003589642,0.0001729066,0.0001153635,0.0000694488],"category_scores_gemma":[0.000005400565,0.0001239015,0.00002721225,0.0001064328,0.000188971,0.00006613375,0.00002026281,0.0001793073,0.0001737229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002988191,"about_ca_system_score_gemma":0.000004133538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004437891,"about_ca_topic_score_gemma":0.000004019246,"domain_scores_codex":[0.9994782,0.000004823058,0.0001250146,0.0001301996,0.00005576193,0.0002059552],"domain_scores_gemma":[0.9996572,0.00001865807,0.00001540986,0.000252489,0.00002140895,0.00003488746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000103116,0.00001141385,0.0001453383,0.000006699996,0.00002164425,0.000001036355,0.00006756146,0.000003473218,0.8946983,0.0001137263,0.1019255,0.003004313],"study_design_scores_gemma":[0.0001998896,0.0000199255,0.0002438055,0.00001394886,0.00001478162,0.00001286819,0.00003404562,0.003266774,0.4677929,0.00004545529,0.5281135,0.0002420938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987319,0.00009985067,0.00753539,0.00226474,0.0004340694,0.00008806377,0.00005669228,0.000686844,0.001515344],"genre_scores_gemma":[0.9609074,0.00002497829,0.03563155,0.002315026,0.0002701125,0.00003962535,0.00006117933,0.00005200983,0.0006981399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4269054,"threshold_uncertainty_score":0.5052557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006725845659705046,"score_gpt":0.2229822760772451,"score_spread":0.2162564304175401,"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."}}