{"id":"W56537399","doi":"10.29173/eureka10334","title":"Infrared non-invasive sub-wavelength microscopy with metamaterials","year":2012,"lang":"en","type":"article","venue":"Eureka","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metamaterial; Diffraction; Wavelength; Optics; Physics; Formalism (music); Planar; Infrared; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002235777,0.0002597292,0.0001534623,0.0001418056,0.0001270921,0.0003859775,0.0004340345,0.0003487749,0.0006728557],"category_scores_gemma":[0.0002840897,0.000162075,0.0002393302,0.000127065,0.0004698923,0.0005797314,0.0004719995,0.0003628058,0.0003370064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003359831,"about_ca_system_score_gemma":0.0001509686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298408,"about_ca_topic_score_gemma":0.0002060602,"domain_scores_codex":[0.9999144,0.0000192266,0.00000389014,0.00001472401,0.0000377712,0.000009862598],"domain_scores_gemma":[0.999904,0.0000434414,0.00001979773,0.00001889184,0.000007970966,0.000005828081],"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":[0.00008152054,0.00004200005,0.0004510204,0.0001375569,0.00001656745,0.0001635209,0.00009043531,0.007490695,0.9340239,0.04080272,0.0003940958,0.01630599],"study_design_scores_gemma":[0.00002003134,0.0002014324,0.000818226,0.00003145786,0.00001872241,0.0006400935,0.00004676911,0.1618644,0.8125104,0.011651,0.01217316,0.00002433884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2578073,0.002141603,0.7256228,0.0005738755,0.0001112516,0.0001035107,0.00007271703,0.0005298322,0.01303702],"genre_scores_gemma":[0.5568625,0.0008200755,0.4356394,0.0001087905,0.00002686239,0.00007710254,0.00003353395,0.00003358081,0.006398148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006728557,"threshold_uncertainty_score":0.002437711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815371855033462,"score_gpt":0.255784361518288,"score_spread":0.2376306429679534,"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."}}