{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000156841,0.0003145732,0.0003783634,0.0002794876,0.0001385718,0.0003452086,0.0001082197,0.0001665591,0.0001060584],"category_scores_gemma":[0.00001902523,0.0002732899,0.00004456994,0.0003642212,0.00003675883,0.0002486882,0.00007292609,0.0003093325,0.0000505523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127528,"about_ca_system_score_gemma":0.00005648768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943084,"about_ca_topic_score_gemma":0.0000471618,"domain_scores_codex":[0.9986295,0.0000336425,0.0004818142,0.000381301,0.0001129586,0.0003607692],"domain_scores_gemma":[0.9993717,0.00007513414,0.00007784765,0.0003032452,0.00007374206,0.00009833198],"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":[0.00007423617,0.0001238151,0.00240403,0.001776023,0.001152513,0.00007152468,0.00144108,0.8901267,0.0245271,0.02266042,0.001815747,0.05382678],"study_design_scores_gemma":[0.0006409404,0.00009192857,0.003862198,0.001886004,0.0001003229,0.00007181826,0.0005831633,0.9783099,0.006887189,0.00005890856,0.007110809,0.0003967827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1519742,0.001918698,0.4830091,0.001232825,0.005116547,0.001448274,0.000006062222,0.001784728,0.3535095],"genre_scores_gemma":[0.9828668,0.0001146812,0.002655446,0.00003798366,0.00005582586,0.00001475884,0.000003957293,0.00004009441,0.01421043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8308926,"threshold_uncertainty_score":0.9999719,"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."}}