{"id":"W2768431869","doi":"10.1145/3130800.3130884","title":"DeepToF","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"H2020 European Research Council; Defense Advanced Research Projects Agency; Ministerio de Economía y Competitividad; Korea Creative Content Agency; National Research Foundation of Korea; Gobierno de Aragón; European Commission","keywords":"Process (computing); Set (abstract data type); Convolution (computer science); Synthetic data; Convolutional neural network; Key (lock); Interference (communication); Basis (linear algebra); Encoder","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":[0.0005180304,0.001652275,0.0008049706,0.0008577743,0.0007187425,0.002754971,0.002637268,0.001758813,0.06958476],"category_scores_gemma":[0.001687813,0.0006513539,0.001083044,0.0008812156,0.0005857786,0.003699171,0.002459723,0.002417486,0.03822463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099836,"about_ca_system_score_gemma":0.001524278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004892488,"about_ca_topic_score_gemma":0.008110185,"domain_scores_codex":[0.9994985,0.00004253028,0.0000283034,0.0001783532,0.000142077,0.0001102885],"domain_scores_gemma":[0.9996425,0.00006636421,0.000024759,0.0001123282,0.0001260125,0.00002800267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002711673,0.0001565615,0.001276542,0.0008012949,0.0001497282,0.0003555867,0.0001705881,0.04008195,0.01117737,0.07081816,0.1958394,0.6789017],"study_design_scores_gemma":[0.00007953842,0.0001402468,0.0008857587,0.0002812932,0.00007973132,0.000534764,0.0001532792,0.3840344,0.02002257,0.1327142,0.4609992,0.00007505996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01249314,0.006612565,0.7700145,0.00266054,0.001948655,0.0003816651,0.01863351,0.05111393,0.1361415],"genre_scores_gemma":[0.2775818,0.009163887,0.4460863,0.004281199,0.0005690668,0.001075484,0.07456525,0.00754619,0.1791308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06958476,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612979988440208,"score_gpt":0.2934026680696241,"score_spread":0.267272868185222,"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."}}