{"id":"W3140088203","doi":"10.1109/iros.2011.6048869","title":"SLAM-based online calibration of asynchronous microphone array for robot audition","year":2011,"lang":"en","type":"article","venue":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Solenoid; Actuator; Pneumatic actuator; Solenoid valve; Control theory (sociology); Position (finance); Calibration; Robot; Controller (irrigation); Microphone; Computer science; Engineering; Control engineering; Loudspeaker; Artificial intelligence; Control (management); Mechanical engineering; Physics; Electrical 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":[0.0001854628,0.0002237056,0.0003090419,0.0002076773,0.00005485845,0.00007256929,0.000192841,0.0001325924,0.000520493],"category_scores_gemma":[0.00001699242,0.0002021901,0.00008661352,0.00004744793,0.00005570649,0.0001345146,0.000006986984,0.0001040685,0.00003791499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008021492,"about_ca_system_score_gemma":0.0000512021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002815998,"about_ca_topic_score_gemma":0.00009111097,"domain_scores_codex":[0.9986298,0.00004031381,0.0006432827,0.0002551084,0.0002512971,0.0001802063],"domain_scores_gemma":[0.9991501,0.00005295143,0.0001752325,0.0001894837,0.0003388033,0.00009340335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004834268,0.0009641251,0.001609323,0.001153081,0.0007593791,0.000010143,0.003948128,0.184212,0.6922957,0.09979348,0.006435602,0.008335604],"study_design_scores_gemma":[0.0008246453,0.000486838,0.000589871,0.0005173167,0.0000359435,0.00001860519,0.0007693657,0.8127247,0.1820646,0.0002559832,0.001256682,0.0004554638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02138191,0.0001738247,0.9691626,0.0000844297,0.004089888,0.0006735783,0.0002296188,0.0001179717,0.004086179],"genre_scores_gemma":[0.9956968,0.0001236151,0.002960118,0.00004415802,0.0003138404,0.0001120871,0.0002021949,0.00003191675,0.000515239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9743149,"threshold_uncertainty_score":0.8245074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09225915691004581,"score_gpt":0.2689137713819882,"score_spread":0.1766546144719424,"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."}}