{"id":"W2997608763","doi":"10.1145/2766953","title":"Doppler time-of-flight imaging","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer vision; Artificial intelligence; Computer science; Deblurring; RGB color model; Optical flow; Pixel; Projector; Match moving; Tracking (education); Computer graphics (images); Motion (physics); Image processing; Image (mathematics); Image restoration","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005726481,0.0001075457,0.0001267952,0.0001130928,0.00006873456,0.00001153871,0.0002100755,0.00003501018,0.0000644438],"category_scores_gemma":[0.0000154263,0.00009831879,0.00008588133,0.0003226188,0.0001539162,0.00009922869,0.000007770272,0.0002148479,0.0000568652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001134114,"about_ca_system_score_gemma":0.00002063001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002224401,"about_ca_topic_score_gemma":0.000001055395,"domain_scores_codex":[0.9993929,0.0000131157,0.0001417245,0.0001533896,0.0001354547,0.0001634521],"domain_scores_gemma":[0.999248,0.00007899582,0.00004460753,0.0004815907,0.00008563891,0.00006115982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002457624,0.002176986,0.02333587,0.00003122455,0.0006612706,0.00001813099,0.001628735,0.008746925,0.01021907,0.3100671,0.008978327,0.6338906],"study_design_scores_gemma":[0.001243625,0.0002118013,0.000448562,0.00006250294,0.000125694,0.000006763768,0.000763993,0.004531041,0.0936253,0.8821388,0.01626633,0.0005755305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03384862,0.00004675051,0.9588356,0.001495866,0.0001793385,0.0001307385,0.00003601519,0.0002838795,0.005143199],"genre_scores_gemma":[0.9650772,0.000003982121,0.03464751,0.00005623525,0.00002075465,0.000005751911,0.000004850541,0.0000153802,0.0001683984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9312285,"threshold_uncertainty_score":0.4009324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204497704376301,"score_gpt":0.2640754692517024,"score_spread":0.2420304922079394,"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."}}