{"id":"W3087830183","doi":"10.1364/ao.403484","title":"Comparison of nonlinear filtering techniques for photonic systems with blackbody radiation","year":2020,"lang":"en","type":"article","venue":"Applied Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Black-body radiation; Photonics; Kalman filter; SIGNAL (programming language); Filter (signal processing); Noise (video); Noise reduction; Physics; Optics; Reduction (mathematics); Time delay and integration; Nonlinear filter; Optical filter; Computer science; Acoustics; Radiation; Filter design; Artificial intelligence; Mathematics; Computer vision","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":[0.001022677,0.0004374539,0.0003883509,0.0004650745,0.0003481305,0.0005437132,0.0003680066,0.0006938018,0.0009326502],"category_scores_gemma":[0.002727341,0.0001284163,0.0005290341,0.0002665849,0.0004513907,0.0008039882,0.0003118315,0.0004659878,0.0002327758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006165868,"about_ca_system_score_gemma":0.000645262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003937092,"about_ca_topic_score_gemma":0.003659156,"domain_scores_codex":[0.9994977,0.00008515557,0.00002577032,0.00008445397,0.0002559318,0.00005099571],"domain_scores_gemma":[0.9986638,0.0008197515,0.000121352,0.0001031474,0.0002696497,0.00002231433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001408874,0.0003634561,0.006179569,0.0005537146,0.0002232642,0.0001902276,0.0005274358,0.2734488,0.1928917,0.01562303,0.000658245,0.5079318],"study_design_scores_gemma":[0.0000433938,0.0004904015,0.003933055,0.00003171681,0.00006080392,0.0001128218,0.00009524389,0.8769312,0.1132971,0.002277432,0.00267185,0.00005502677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1816742,0.001042661,0.8128874,0.0001837826,0.00007909488,0.0000642114,0.00002841261,0.0003903647,0.003649945],"genre_scores_gemma":[0.7762685,0.000778233,0.2196958,0.0000726758,0.00002280384,0.00006401408,0.00008362094,0.00005234821,0.002961932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003937092,"threshold_uncertainty_score":0.007828355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919541757929179,"score_gpt":0.2575969842821649,"score_spread":0.2384015667028731,"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."}}