{"id":"W2037349109","doi":"10.1364/aio.2013.am1b.2","title":"High-Performance Spectroscopy using Virtual Slit Optics","year":2013,"lang":"en","type":"article","venue":"Imaging and Applied Optics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tornado Spectral Systems (Canada)","funders":"","keywords":"Hyperspectral imaging; Throughput; Spectrometer; Optics; Raman spectroscopy; Slit; Spectroscopy; Spectral resolution; Imaging spectrometer; Materials science; Spectral imaging; Computer science; Resolution (logic); Optoelectronics; Physics; Artificial intelligence; Telecommunications; 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":[0.0006706806,0.0003544181,0.0003538233,0.0004542288,0.0003930329,0.001235666,0.0009494061,0.0005363909,0.001983721],"category_scores_gemma":[0.0006554039,0.0003597994,0.0002711856,0.0009135664,0.0005668768,0.001512487,0.0009834175,0.0005899489,0.0005985801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814317,"about_ca_system_score_gemma":0.000590018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008049592,"about_ca_topic_score_gemma":0.001039012,"domain_scores_codex":[0.9992062,0.0001169508,0.00002839412,0.0001271442,0.0004378748,0.0000834879],"domain_scores_gemma":[0.9994541,0.000204271,0.00006260301,0.0001007214,0.0001402794,0.00003819512],"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":[0.0002172429,0.00006175153,0.001111347,0.000120555,0.00003542388,0.00009972425,0.0001108908,0.005597201,0.9250665,0.01865749,0.002148819,0.04677313],"study_design_scores_gemma":[0.00003924456,0.0002221826,0.001187202,0.00001464335,0.00001696855,0.0003240249,0.00005220981,0.1005935,0.8733866,0.004443208,0.01966462,0.00005556216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3281383,0.002150203,0.642891,0.00052808,0.0002237597,0.0001125489,0.0005379806,0.005124649,0.02029349],"genre_scores_gemma":[0.804627,0.0009499316,0.1877871,0.0001111004,0.00006011962,0.0000631542,0.0003903162,0.0001136364,0.005897723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001983721,"threshold_uncertainty_score":0.006636262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007281580374133895,"score_gpt":0.2723286569712445,"score_spread":0.2650470765971106,"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."}}