{"id":"W2100954809","doi":"10.1109/lisat.2014.6845227","title":"AndroRC: An Android remote control car unit for search missions","year":2014,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Bluetooth; Chassis; Arduino; Android (operating system); Microcontroller; Computer science; Remote control; Control unit; Embedded system; Transmitter; DC motor; Real-time computing; Computer hardware; Engineering; Operating system; Electrical engineering; Wireless; Telecommunications","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":[0.0001409006,0.00008149738,0.0001101832,0.00005143705,0.00007296276,0.00003129387,0.0000663784,0.00006307443,0.00004871628],"category_scores_gemma":[0.00003110622,0.00007168273,0.00003087249,0.00007184168,0.00001158006,0.00005019258,0.000003746354,0.00005534174,0.00001286326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232653,"about_ca_system_score_gemma":0.000009192343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003064256,"about_ca_topic_score_gemma":0.00002885444,"domain_scores_codex":[0.9994878,0.00002562889,0.0001149028,0.0001062779,0.00008179183,0.0001836584],"domain_scores_gemma":[0.9995434,0.00007246752,0.000006577788,0.0001820224,0.00006642305,0.0001291027],"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":[0.00001279173,0.00001224559,0.0001595067,0.0000401761,0.00001586964,7.1984e-7,0.00006504486,0.9721088,0.01242795,0.004154593,0.001076854,0.009925456],"study_design_scores_gemma":[0.0006946284,0.00008055811,0.000177968,0.000007681464,0.00001077579,0.000001642429,0.00002670585,0.9843818,0.00336406,0.0002498523,0.01089775,0.0001065586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04627101,0.00001781075,0.9489036,0.000146807,0.00009978221,0.0001921729,0.000008982608,0.0001789854,0.004180895],"genre_scores_gemma":[0.9917138,0.000008666758,0.007300875,0.0001250611,0.00009569321,0.00000189698,0.00004130592,0.00002960232,0.0006830715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9454428,"threshold_uncertainty_score":0.2923137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150742816367479,"score_gpt":0.2526088504006434,"score_spread":0.2311014222369686,"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."}}