{"id":"W2050938269","doi":"10.1117/12.918583","title":"Catadioptric optics for high-resolution terahertz imager","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Terahertz technology and applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Catadioptric system; Optics; Terahertz radiation; Pixel; Physics; Image resolution; Detector; Image quality; Resolution (logic); Wavelength; Field of view; Optoelectronics; Computer science; Artificial intelligence; Image (mathematics)","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":[0.000397296,0.0004406294,0.0003495755,0.0005509452,0.0003701954,0.0006150291,0.0005394498,0.0004343925,0.006763835],"category_scores_gemma":[0.000638011,0.0003939857,0.0002951597,0.0006801692,0.0003858953,0.0005659528,0.0005655228,0.001049335,0.001914482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009245009,"about_ca_system_score_gemma":0.0008818451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462872,"about_ca_topic_score_gemma":0.004142943,"domain_scores_codex":[0.999456,0.00006033416,0.0000266125,0.0000830254,0.0003407988,0.00003327371],"domain_scores_gemma":[0.9996136,0.0001058077,0.00005251472,0.00009202979,0.0001123752,0.00002365124],"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":[0.0001067975,0.00003820172,0.0006687532,0.0005115888,0.00002440654,0.0002742496,0.0001334027,0.001420672,0.8160138,0.03688329,0.0114549,0.13247],"study_design_scores_gemma":[0.00008035645,0.0004560077,0.007129362,0.00009913609,0.00005881393,0.004005299,0.0000850322,0.03478434,0.6356872,0.004114976,0.3133533,0.0001462045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03584594,0.008560501,0.9122624,0.0008074387,0.0005530344,0.0004758862,0.0006326379,0.00431176,0.03655044],"genre_scores_gemma":[0.079942,0.002977929,0.9037805,0.000224841,0.00006847108,0.0003370057,0.000389212,0.0002203377,0.0120596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006763835,"threshold_uncertainty_score":0.02262729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009767180691009233,"score_gpt":0.2205847789960911,"score_spread":0.2108175983050819,"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."}}