{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565106,0.0004176995,0.0002280596,0.0002861606,0.0002422876,0.00057463,0.0008184139,0.0005514281,0.01086872],"category_scores_gemma":[0.001263067,0.0001656387,0.000184457,0.0001069034,0.0002896125,0.000635243,0.0006476,0.0003477916,0.003444724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017345,"about_ca_system_score_gemma":0.000321872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003611004,"about_ca_topic_score_gemma":0.0006767523,"domain_scores_codex":[0.9997968,0.0000287293,0.00001392592,0.00004343264,0.00009978011,0.00001730149],"domain_scores_gemma":[0.9995876,0.00008826149,0.00004644622,0.00007855525,0.000155175,0.00004393148],"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":[0.0005520785,0.00009711423,0.0006933851,0.0006203251,0.00003983618,0.0005631134,0.0002563919,0.006786626,0.632821,0.008210609,0.004528704,0.3448309],"study_design_scores_gemma":[0.0003495768,0.005327636,0.0104096,0.0003474752,0.0003120882,0.004764914,0.0002717195,0.1617296,0.4271059,0.009745351,0.3794269,0.0002092679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05374853,0.001051894,0.9227847,0.0002098423,0.000403895,0.0002846605,0.0001520923,0.009153808,0.0122104],"genre_scores_gemma":[0.6212326,0.0008570249,0.3334643,0.0004039419,0.000196627,0.0003266192,0.0003103658,0.0003113019,0.04289728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01086872,"threshold_uncertainty_score":0.03635949,"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."}}