{"id":"W1488209007","doi":"10.1109/aero.2004.1367716","title":"Design of hybrid mobile communication networks for planetary exploration","year":2004,"lang":"en","type":"article","venue":"","topic":"Space Exploration and Technology","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Computer science; Mobile telephony; Network architecture; Wireless network; Computer network; Wireless; Telecommunications; Mobile radio","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009099286,0.0004574914,0.0002352641,0.0004428694,0.0003527035,0.0007882463,0.0008760857,0.0004586243,0.001265792],"category_scores_gemma":[0.001462363,0.00029708,0.0002452032,0.0002808609,0.0004450778,0.0008287533,0.0005519429,0.0003045828,0.0002426366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006946536,"about_ca_system_score_gemma":0.0005064916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043846,"about_ca_topic_score_gemma":0.002683137,"domain_scores_codex":[0.9993838,0.0002650307,0.0000191373,0.00007146415,0.0002093968,0.00005105189],"domain_scores_gemma":[0.9994513,0.0002368632,0.00007987972,0.00005176171,0.000158075,0.00002205536],"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":[0.00009979677,0.00004998204,0.001318158,0.0002156328,0.0000681225,0.0001373704,0.0001773503,0.8271953,0.03280694,0.03177368,0.0009793898,0.1051781],"study_design_scores_gemma":[0.00002273878,0.0002279194,0.0005001953,0.00004123427,0.0000319391,0.00008947527,0.00009688822,0.9726521,0.007002363,0.008944337,0.01037693,0.00001389559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03970864,0.0007876101,0.9501621,0.0001653683,0.00003679881,0.0001625189,0.00003527885,0.0002632614,0.008678435],"genre_scores_gemma":[0.6743945,0.0008029575,0.3195139,0.00009505262,0.0000340397,0.0004606408,0.00007654216,0.0000724896,0.00454975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001265792,"threshold_uncertainty_score":0.00504005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615648498997502,"score_gpt":0.2208486092822931,"score_spread":0.194692124292318,"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."}}