{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002991715,0.00009588652,0.00009076914,0.00005203089,0.0007052466,0.00006416331,0.0004564245,0.00004850572,0.0000932322],"category_scores_gemma":[0.00002252925,0.00008907633,0.00009143487,0.00005900987,0.0002267641,0.0001357972,0.00000992172,0.0002655291,0.00004885563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000633074,"about_ca_system_score_gemma":0.000007604701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004054392,"about_ca_topic_score_gemma":0.00001326398,"domain_scores_codex":[0.9994983,0.000005632326,0.00008416328,0.0001602704,0.00008699323,0.000164658],"domain_scores_gemma":[0.9986405,0.00006534412,0.00005190492,0.001172098,0.00003162647,0.00003851184],"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":[0.00002506312,0.0003188341,0.007381083,0.000004363784,0.0001419054,0.000004248361,0.00004979883,0.0004162319,0.0008485889,0.3304347,0.0001841211,0.6601911],"study_design_scores_gemma":[0.0005261105,0.00009693468,0.009616628,0.00002888656,0.00005250412,0.000001147418,0.0001269732,0.0003246427,0.03261139,0.9471297,0.009145014,0.0003400696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0844319,0.000007326057,0.9043044,0.00348618,0.0002578702,0.0001081619,0.00002561974,0.0002472175,0.007131317],"genre_scores_gemma":[0.9803707,0.000007557179,0.01933972,0.00005675135,0.00002807598,0.000008483478,0.000001552127,0.00001200548,0.0001751384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8959388,"threshold_uncertainty_score":0.5424258,"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."}}