{"id":"W4220927739","doi":"10.1117/12.2608938","title":"Compressed ultrafast tomographic imaging using standard streak cameras","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Axis Photonique (Canada); Université du Québec","funders":"","keywords":"Streak; Streak camera; Compressed sensing; Computer science; Computer vision; Artificial intelligence; Tomographic reconstruction; Iterative reconstruction; Image resolution; Subpixel rendering; Temporal resolution; Optics; Pixel; Physics","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":[0.0002808842,0.000506459,0.0004107642,0.0007001367,0.0002038364,0.0007027398,0.0006414574,0.0005791484,0.001609894],"category_scores_gemma":[0.0009708928,0.0003507861,0.0002303125,0.0009130651,0.000476044,0.001594658,0.0009169884,0.001125837,0.0004995496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00052783,"about_ca_system_score_gemma":0.000625977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149739,"about_ca_topic_score_gemma":0.001647223,"domain_scores_codex":[0.9996681,0.00002783761,0.00001708877,0.00007352905,0.0001842462,0.00002920563],"domain_scores_gemma":[0.9996654,0.00007747863,0.00007614094,0.0000572451,0.00008671403,0.00003694408],"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":[0.0002761213,0.0001025946,0.001130839,0.0004355758,0.00003120043,0.0005996137,0.0002927845,0.01104057,0.838873,0.02003404,0.004323596,0.1228601],"study_design_scores_gemma":[0.0000798485,0.0003274815,0.002244388,0.00009217233,0.00004375091,0.001919343,0.0002091068,0.3758249,0.579401,0.006967048,0.03272466,0.0001663351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1121576,0.002620053,0.8710215,0.0005684297,0.0001646089,0.0002232562,0.0005801398,0.002142253,0.01052213],"genre_scores_gemma":[0.3623914,0.002501744,0.6290407,0.0003530774,0.0001248827,0.0002869134,0.001103093,0.0002214881,0.003976687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001609894,"threshold_uncertainty_score":0.005385637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009225808710056524,"score_gpt":0.2471728904946583,"score_spread":0.2379470817846018,"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."}}