{"id":"W2793879578","doi":"10.3390/photonics5010003","title":"High Throughput AOTF Hyperspectral Imager for Randomly Polarized Light","year":2018,"lang":"en","type":"article","venue":"Photonics","topic":"Optical and Acousto-Optic Technologies","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperspectral imaging; Optics; Throughput; Liquid crystal tunable filter; Materials science; Optical filter; Filter (signal processing); Spectral resolution; Spectral imaging; Optoelectronics; Wavelength; Physics; Computer science; Spectral line; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056105,0.0004609564,0.000498339,0.0005660823,0.0002727528,0.0004623219,0.0006912289,0.0005029795,0.002011541],"category_scores_gemma":[0.0003707286,0.0003177832,0.0002863371,0.0003908967,0.0002432484,0.0009154114,0.0004240967,0.000633593,0.001050348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005796247,"about_ca_system_score_gemma":0.0002737603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000796927,"about_ca_topic_score_gemma":0.001248436,"domain_scores_codex":[0.9994556,0.00003675543,0.00001812606,0.0001453423,0.0002973709,0.00004671933],"domain_scores_gemma":[0.9995735,0.0001031339,0.0001169381,0.00004831593,0.0001271895,0.00003097869],"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":[0.0000428539,0.0000427124,0.0001507684,0.00002360074,0.00000567562,0.00004088758,0.00001888488,0.0002696301,0.9937698,0.0002091531,0.0003891259,0.005036747],"study_design_scores_gemma":[0.000007781406,0.0000722381,0.0009393014,0.000002549059,0.000007770551,0.0001606411,0.000008854997,0.009622607,0.9867445,0.00003582609,0.002381262,0.00001676169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6600111,0.0008175363,0.3201091,0.0003383621,0.0001289139,0.0002407799,0.0009818678,0.007307287,0.01006506],"genre_scores_gemma":[0.6591166,0.0005103404,0.3284543,0.0002061375,0.00007344285,0.0002511165,0.001026763,0.0004117502,0.009949567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002011541,"threshold_uncertainty_score":0.006729245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007882474929506231,"score_gpt":0.2439391189245955,"score_spread":0.2360566439950893,"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."}}