{"id":"W2885612331","doi":"10.1038/s41467-019-11279-6","title":"Passive optical time-of-flight for non line-of-sight localization","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Research Projects Agency; Azrieli Foundation; Israel Science Foundation; European Commission; Defense Advanced Research Projects Agency; U.S. Department of Defense","keywords":"Ranging; Ultrashort pulse; Tracking (education); Detector; Optical imaging; Temporal resolution; Image resolution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003147079,0.0006629567,0.0003079638,0.0004035695,0.0003624126,0.0006244128,0.0007281312,0.0009042809,0.00208397],"category_scores_gemma":[0.0009487506,0.0002462862,0.0001775708,0.0004166416,0.0005228618,0.001310262,0.0008061416,0.0008661349,0.0008885831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000951,"about_ca_system_score_gemma":0.0004760707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005240406,"about_ca_topic_score_gemma":0.001307204,"domain_scores_codex":[0.999754,0.00003574563,0.000007537974,0.00006703355,0.0001104421,0.000025211],"domain_scores_gemma":[0.9995084,0.0001774434,0.0001235776,0.00008022486,0.0000810429,0.00002936394],"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":[0.0001688896,0.00009667588,0.001056551,0.0002317485,0.00001864446,0.0001564399,0.0001470221,0.006590824,0.8992127,0.0127028,0.001927633,0.07769],"study_design_scores_gemma":[0.00005524399,0.0004651609,0.001925103,0.00006003047,0.00003351315,0.001088882,0.0001271085,0.3640573,0.5950728,0.009823749,0.02719576,0.00009536134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07764196,0.001010149,0.9125347,0.0003649858,0.0001992039,0.00007362424,0.0002407985,0.0013236,0.006611068],"genre_scores_gemma":[0.5091586,0.0008797273,0.4858754,0.0003046662,0.0001156833,0.0001270839,0.0003109242,0.0001633228,0.003064554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00208397,"threshold_uncertainty_score":0.006971538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034262850077438,"score_gpt":0.2919438794153268,"score_spread":0.2816012509145525,"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."}}