{"id":"W2960081125","doi":"10.1145/3306346.3322942","title":"Multi-robot collaborative dense scene reconstruction","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Google (Canada); University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Robot; Computer science; Benchmark (surveying); Task (project management); Artificial intelligence; Computer vision; Set (abstract data type); Engineering","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":[0.00047241,0.0007688357,0.0008311048,0.0006623798,0.0004355,0.0007589206,0.001430236,0.001001053,0.002437622],"category_scores_gemma":[0.001092662,0.0005995501,0.0008228704,0.0007246697,0.0006166324,0.001142446,0.001815014,0.0008175611,0.0006362728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231685,"about_ca_system_score_gemma":0.0009577597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505665,"about_ca_topic_score_gemma":0.005204191,"domain_scores_codex":[0.9994899,0.00009350421,0.00001634809,0.0001181939,0.0002257268,0.00005621985],"domain_scores_gemma":[0.9993811,0.0001667785,0.00007214255,0.0002570178,0.00008583783,0.00003706398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002568562,0.0001243095,0.001480309,0.0001486788,0.0001214053,0.0002922684,0.0002969764,0.7510858,0.0516626,0.007458988,0.002606202,0.1844657],"study_design_scores_gemma":[0.00001199823,0.00004903951,0.0003086191,0.000004550072,0.000008387368,0.0001386823,0.00003669809,0.985934,0.009746355,0.00211089,0.001637389,0.00001337661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01459733,0.00006691345,0.9831018,0.00004639169,0.000011018,0.00002616086,0.00004484506,0.0009797597,0.001125755],"genre_scores_gemma":[0.3127379,0.00008455379,0.6843199,0.00005984759,0.0000142672,0.00007412722,0.0002225734,0.0002019357,0.002285021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002505665,"threshold_uncertainty_score":0.008154631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372179176761954,"score_gpt":0.2212299298303649,"score_spread":0.2075081380627453,"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."}}