{"id":"W4403599191","doi":"10.1109/tmech.2024.3471911","title":"NBV-HRR: Next Best View Planning Network for Highly Reflective Region Restoration in Robotic 3-D Scanning","year":2024,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Computer science; Geography; Artificial intelligence; Cartography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002588446,0.0002900636,0.0002937189,0.0003612669,0.0002242121,0.0001824106,0.0001188362,0.0002378019,0.000008214259],"category_scores_gemma":[0.000009815349,0.0003238981,0.0001430951,0.0008115346,0.00002246234,0.0004154853,0.000001329857,0.0005025147,0.00003231611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006836525,"about_ca_system_score_gemma":0.00009404749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000292819,"about_ca_topic_score_gemma":0.0001596598,"domain_scores_codex":[0.9984081,0.00006379179,0.0004447114,0.0003891644,0.0002071634,0.0004871056],"domain_scores_gemma":[0.9993458,0.0001873948,0.00003866121,0.0002610599,0.00008038837,0.00008663817],"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":[0.00004332916,0.00003299051,0.000003592687,0.0002043886,0.00005650756,0.00001327883,0.0003592107,0.9849418,0.0007295114,0.003508765,0.0005862525,0.009520336],"study_design_scores_gemma":[0.0003764818,0.000231091,0.000005677088,0.0009059334,0.00009466544,0.00001059264,0.000165567,0.9901519,0.001250931,0.001567176,0.004903649,0.0003363591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004204705,0.002730405,0.9889412,0.0002920993,0.002567261,0.0005874038,0.00000995397,0.000483377,0.0001835929],"genre_scores_gemma":[0.9851959,0.0008181526,0.01297316,0.00008961649,0.0003469683,0.0001668608,0.0000540791,0.0001423275,0.0002128893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9809912,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905371297897971,"score_gpt":0.2765783158815154,"score_spread":0.2375246029025357,"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."}}