{"id":"W2804371964","doi":"10.2316/journal.206.2018.3.206-4759","title":"DEVELOPMENT OF A WIRELESS COMMUNICATION NETWORK FOR MONITORING AND CONTROLLING OF AUTONOMOUS ROBOTS","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Robot; Wireless; Computer network; Wireless network; Human–computer interaction; Embedded system; Telecommunications; Artificial intelligence","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":[0.0004691684,0.00006304096,0.0001621883,0.0001042207,0.00006669942,0.00005265829,0.000311479,0.00003866228,2.92429e-7],"category_scores_gemma":[0.00003163827,0.00005891006,0.0000306635,0.00007072894,0.00005197065,0.0002131336,0.00008490901,0.0000511403,6.65331e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003314651,"about_ca_system_score_gemma":0.00005489279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002459217,"about_ca_topic_score_gemma":0.000002864898,"domain_scores_codex":[0.999063,0.00002696872,0.0005284251,0.00007374425,0.0002289353,0.00007892842],"domain_scores_gemma":[0.9981467,0.0001783083,0.0007563919,0.00008753731,0.0008004789,0.00003058515],"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":[0.00004642052,0.00006756601,0.001887147,0.00002451094,0.0001491301,8.459876e-7,0.001810889,0.8245656,0.006138422,0.03965488,0.00001495267,0.1256396],"study_design_scores_gemma":[0.0006393535,0.00008150008,0.006299078,0.0003722344,0.00001212851,0.0000184808,0.0000402908,0.9828126,0.008777051,0.0008098015,0.00007430249,0.00006315242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3247547,0.000218517,0.6744092,0.0001748111,0.0003778929,0.00004290625,4.039114e-7,0.000006531112,0.00001501051],"genre_scores_gemma":[0.5941304,0.00005235833,0.4057054,0.000005305855,0.00009978851,7.008595e-7,8.539537e-7,0.000002751763,0.000002481868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2693757,"threshold_uncertainty_score":0.2402283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732080435315679,"score_gpt":0.2696956398849709,"score_spread":0.2523748355318141,"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."}}