{"id":"W4385065851","doi":"10.34133/icomputing.0050","title":"Direct Noise-Resistant Edge Detection with Edge-Sensitive Single-Pixel Imaging Modulation","year":2023,"lang":"en","type":"article","venue":"Intelligent Computing","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Artificial intelligence; Edge detection; Computer science; Noise (video); Pixel; Computer vision; Enhanced Data Rates for GSM Evolution; Interference (communication); Modulation (music); Edge enhancement; Ghost imaging; Image processing; Physics; Image (mathematics); Channel (broadcasting); Telecommunications; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002353589,0.000194839,0.0002131152,0.0001326417,0.0002407366,0.0001086639,0.00008443103,0.00002035624,0.00001858709],"category_scores_gemma":[0.00001302061,0.0001622157,0.00009761596,0.0003444548,0.0000422711,0.00008917244,0.00005771631,0.0001300459,0.0001068648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005718327,"about_ca_system_score_gemma":0.00001804552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001401475,"about_ca_topic_score_gemma":0.00001053774,"domain_scores_codex":[0.998852,0.00005657377,0.0002536431,0.0003202793,0.0001845051,0.0003330252],"domain_scores_gemma":[0.9993399,0.0001861189,0.0001265215,0.0001711577,0.00009967613,0.00007663127],"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":[0.000189622,0.0001101103,0.01315224,0.00003342181,0.0001561148,0.00002579422,0.002536837,0.0437738,0.2548132,0.0001706112,0.000230268,0.684808],"study_design_scores_gemma":[0.0007706546,0.0001023059,0.01388006,0.0003037701,0.00005980262,0.000004985581,0.001602482,0.6305609,0.3499982,0.0003168641,0.00185918,0.0005408049],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6977633,0.00001043143,0.2981955,0.00005213397,0.0004514382,0.0001661014,0.000004913185,0.0001615824,0.003194612],"genre_scores_gemma":[0.9988019,7.308711e-7,0.0003183452,0.0000253973,0.0006295211,0.000006254267,0.00003639199,0.00003291743,0.0001484974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6842672,"threshold_uncertainty_score":0.6614965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440420773590152,"score_gpt":0.2307751098048144,"score_spread":0.2163709020689129,"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."}}