{"id":"W7117240821","doi":"10.1109/etcm67548.2025.11304360","title":"NAO Robot’s Autonomous Reading and Interaction with Printed Texts","year":2025,"lang":"","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"","keywords":"Pipeline (software); Reading (process); Humanoid robot; Noise (video); Optical character recognition; Robot; Image processing; Word processing; Character (mathematics)","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":[0.0002130431,0.0004154712,0.0004527002,0.0002002875,0.0004340639,0.000547591,0.0007976084,0.000493087,0.002935454],"category_scores_gemma":[0.001183435,0.0002067303,0.0002215976,0.0001097433,0.0005508888,0.0005978705,0.0008387555,0.0003004273,0.001759781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713832,"about_ca_system_score_gemma":0.0008643261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072372,"about_ca_topic_score_gemma":0.003712923,"domain_scores_codex":[0.9997758,0.000018805,0.00001331094,0.00007324441,0.00009308976,0.00002572293],"domain_scores_gemma":[0.9996076,0.00008902927,0.00004569977,0.00008050445,0.0001225571,0.00005464311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005643702,0.0002067029,0.006468053,0.0008173279,0.00004334746,0.0009955388,0.002430005,0.01008668,0.5040959,0.004337775,0.009816834,0.4601374],"study_design_scores_gemma":[0.0002274119,0.002680892,0.03561631,0.0002916411,0.0001520353,0.00562932,0.00205821,0.3293082,0.3286939,0.005830653,0.2891,0.000411354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4774019,0.0006947132,0.4436831,0.0007123575,0.0004493485,0.0007874302,0.0004792792,0.01202409,0.06376771],"genre_scores_gemma":[0.7725064,0.0002199287,0.1969012,0.0002217052,0.0000348079,0.0004891407,0.000433772,0.0002143392,0.02897864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002935454,"threshold_uncertainty_score":0.009820044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007807515879306753,"score_gpt":0.2305810349969736,"score_spread":0.2227735191176668,"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."}}