{"id":"W2905549499","doi":"10.1109/crv.2018.00056","title":"Eye on the Sky: An Upward-Looking Monocular Teach-and-Repeat System for Indoor Environments","year":2018,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Monocular; Computer science; Artificial intelligence; Computer vision; Monocular vision; Pipeline (software); Path (computing); Range (aeronautics); Sky; Computer graphics (images); Real-time computing; Geography; Engineering; Aerospace 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":[0.0001513622,0.0001118214,0.00009659062,0.00003247305,0.0001325763,0.00004753017,0.00007875432,0.0000595658,0.00001723576],"category_scores_gemma":[0.00001050374,0.00007749812,0.00002962843,0.00003245662,0.00002709514,0.00005345886,0.00001244181,0.00005163662,0.00003042045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005449413,"about_ca_system_score_gemma":0.000002285715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001085682,"about_ca_topic_score_gemma":0.000003556887,"domain_scores_codex":[0.9994373,0.0000235462,0.0001313277,0.0001467364,0.0001034011,0.0001576346],"domain_scores_gemma":[0.9996594,0.00003194186,0.00001716185,0.0002330739,0.000008888547,0.00004954656],"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":[0.0001726813,0.0002316022,0.01222616,0.0005704229,0.0006218822,0.00001413741,0.003711938,0.7261553,0.1026126,0.1008958,0.003048866,0.0497386],"study_design_scores_gemma":[0.000291539,0.0001535448,0.0006632253,0.00003487769,0.00002459944,0.000001147886,0.0002684728,0.9578517,0.03507792,0.00006052948,0.005419743,0.0001526914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297413,0.00003462566,0.4660392,0.00008902469,0.0002424303,0.0004380966,0.00000449963,0.0001859747,0.00322478],"genre_scores_gemma":[0.9979131,0.000006541113,0.001542457,0.00009917976,0.0001499019,0.00002217332,0.000009778475,0.00003495878,0.0002218765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4681718,"threshold_uncertainty_score":0.3160282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122490855698467,"score_gpt":0.2101515174607762,"score_spread":0.1989266089037916,"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."}}