{"id":"W4238123868","doi":"10.1117/12.2016011","title":"High-performance hyperspectral imaging using virtual slit optics","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tornado Spectral Systems (Canada)","funders":"","keywords":"Hyperspectral imaging; Spectral resolution; Remote sensing; Spectrometer; Optics; Imaging spectrometer; Image resolution; Narrowband; Full spectral imaging; Spectral imaging; Imaging spectroscopy; Computer science; Physics; Geology; Spectral line","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":[0.0003518836,0.0003447334,0.0002696015,0.000311665,0.0001831183,0.000825169,0.0006177956,0.0003605706,0.001536796],"category_scores_gemma":[0.000255349,0.0002334045,0.0002122181,0.0003923523,0.000383203,0.0008318063,0.0007554196,0.0004420067,0.0004476832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699652,"about_ca_system_score_gemma":0.0003412314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008459497,"about_ca_topic_score_gemma":0.001836161,"domain_scores_codex":[0.9996749,0.00003458607,0.000009323801,0.00005196889,0.0001942574,0.000034943],"domain_scores_gemma":[0.9997544,0.00006865492,0.00004776094,0.00004122645,0.00006142489,0.00002654639],"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":[0.0001247424,0.00006931937,0.001071145,0.00007826216,0.00002414895,0.0001423199,0.0001041821,0.004220142,0.9550206,0.004565619,0.001792214,0.03278728],"study_design_scores_gemma":[0.0000418005,0.0003086563,0.003319363,0.00001598121,0.00001298026,0.0003307324,0.00005947381,0.1823671,0.795504,0.001400734,0.01657373,0.00006545583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6222553,0.000973785,0.3468952,0.0004493037,0.0001161921,0.0001229526,0.0004797612,0.005280443,0.02342705],"genre_scores_gemma":[0.749437,0.0003841625,0.2435851,0.0001408241,0.00003561918,0.00006265494,0.0004746716,0.0001813175,0.005698507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001536796,"threshold_uncertainty_score":0.005141079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008819428596205497,"score_gpt":0.2075759840300529,"score_spread":0.1987565554338474,"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."}}