{"id":"W2325717043","doi":"10.2316/p.2011.750-019","title":"Remote Robot Control Learning Powered by Bluetooth Communication System","year":2011,"lang":"en","type":"article","venue":"Technology for Education and Learning","topic":"Wireless Sensor Networks for Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bluetooth; Computer science; Robot; Control (management); Mobile robot; Human–computer interaction; Real-time computing; Wireless; Artificial intelligence; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004866648,0.0001389653,0.0002229129,0.0003181996,0.0005623724,0.00007748394,0.0006666192,0.0001919562,0.000008428461],"category_scores_gemma":[0.0001877969,0.0001461861,0.000049405,0.0004954445,0.0001018831,0.000276416,0.0001163027,0.0004983596,0.00001777497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006131439,"about_ca_system_score_gemma":0.00005025153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331283,"about_ca_topic_score_gemma":0.00000865027,"domain_scores_codex":[0.9988965,0.0001379224,0.0002585763,0.0003628445,0.00008742629,0.0002567162],"domain_scores_gemma":[0.9988216,0.0001183449,0.0002848091,0.0005693234,0.00014469,0.00006128044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003066206,0.0001645803,0.007837138,0.00008316316,0.000183908,9.970471e-7,0.003489036,0.000558146,0.002505559,0.1586885,0.00165736,0.8248009],"study_design_scores_gemma":[0.002146944,0.0006110935,0.002704111,0.0003491435,0.0002544912,0.0001684743,0.01767941,0.8142917,0.002245487,0.004646897,0.153815,0.00108728],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04968349,0.002939312,0.9422793,0.001539259,0.0001972577,0.000348857,0.000001751056,0.001320833,0.001689904],"genre_scores_gemma":[0.9334486,0.0001050685,0.06554121,0.00007108517,0.00001889538,0.00003189384,0.0000478326,0.00001681814,0.0007186095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8837651,"threshold_uncertainty_score":0.5961296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008740127657629507,"score_gpt":0.2275703687925701,"score_spread":0.2188302411349407,"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."}}