{"id":"W2131182778","doi":"10.1109/robot.2008.4543740","title":"Embedded auditory system for small mobile robots","year":2008,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Laptop; Computer science; Digital signal processing; Robot; Digital signal processor; Mobile robot; Audio signal processing; Embedded system; Signal processing; Real-time computing; Computer hardware; Audio signal; Artificial intelligence; Operating system","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":[0.0001062294,0.00008971395,0.0001211985,0.00004640613,0.0002115983,0.00006240517,0.0004806519,0.0000434858,0.000006524006],"category_scores_gemma":[0.00001311063,0.00007463098,0.00006024418,0.0001407538,0.00002112572,0.00023609,0.00007642451,0.00004250448,0.00008230541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003849767,"about_ca_system_score_gemma":0.00009456039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003970742,"about_ca_topic_score_gemma":0.000001893254,"domain_scores_codex":[0.9992213,0.00001174634,0.0001403911,0.0002660267,0.0001168152,0.0002436774],"domain_scores_gemma":[0.999437,0.00005374806,0.00005375801,0.0002946318,0.00008093279,0.000079944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007736869,0.0006852848,0.00164156,0.001659139,0.0001880881,0.0004747993,0.007471952,0.01380731,0.2049793,0.02108769,0.265278,0.4826495],"study_design_scores_gemma":[0.001162647,0.0002489926,0.0004132921,0.00009112066,0.000008098959,0.0003124888,0.0002693957,0.03745048,0.9421194,0.0004352663,0.01694548,0.0005433069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03531778,0.0001537637,0.9545511,0.00006728129,0.0009238148,0.0002154831,5.957351e-7,0.0005212454,0.008248961],"genre_scores_gemma":[0.5256814,0.000003880057,0.4693289,0.0002318091,0.0004278895,0.0001069253,0.000001084648,0.00001004206,0.004208039],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7371401,"threshold_uncertainty_score":0.3043363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263676613379831,"score_gpt":0.2330833533564695,"score_spread":0.2067156920184864,"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."}}