{"id":"W4403922951","doi":"10.1145/3671127.3698172","title":"ICON drone: Autonomous indoor exploration using Unmanned Aerial Vehicle for semantic 3D reconstruction","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Drone; Icon; Computer science; Artificial intelligence; Computer vision; Aeronautics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008145896,0.0001103102,0.0001105284,0.0001120872,0.00007055671,0.0001419911,0.00003241928,0.00009210913,0.00004862297],"category_scores_gemma":[0.00001215498,0.000112922,0.00004517668,0.0001506075,0.00001380376,0.0003569483,0.000005613175,0.00005848973,0.00002450277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286764,"about_ca_system_score_gemma":0.00003076934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002303661,"about_ca_topic_score_gemma":0.00002047997,"domain_scores_codex":[0.9993811,0.00001191281,0.0002187365,0.0001603858,0.00006882619,0.0001590451],"domain_scores_gemma":[0.9997907,0.00002900098,0.00001445981,0.00009351953,0.00003629994,0.00003607563],"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":[0.00001506163,0.000008816637,0.00002525803,0.0001897913,0.00003614496,0.000002174547,0.0002136842,0.8798587,0.0863227,0.003181152,0.0002494863,0.02989708],"study_design_scores_gemma":[0.0002458263,0.00003406357,0.00001061366,0.00004989887,0.00002998042,0.00000854378,0.00007134212,0.971176,0.02725642,0.0004268186,0.0005460991,0.0001443936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3378567,0.00005973557,0.6590343,0.00006866746,0.001923063,0.000254025,0.000004799499,0.0004826174,0.000316145],"genre_scores_gemma":[0.9910422,0.00002030976,0.008310894,0.00001794137,0.0003974902,0.0000171765,0.00004648903,0.0000452225,0.0001022736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6531855,"threshold_uncertainty_score":0.4604827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349048970872648,"score_gpt":0.2390843087780339,"score_spread":0.2155938190693075,"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."}}