{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000627797,0.00005077821,0.00007430373,0.00004836665,0.00002199744,0.000005102696,0.00007743615,0.00003516626,0.00001486363],"category_scores_gemma":[0.000005169213,0.00005189174,0.00001785235,0.00006029893,0.00001653708,0.0001398701,0.000006667998,0.00004433746,0.00000853258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001785606,"about_ca_system_score_gemma":0.00000533889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000503852,"about_ca_topic_score_gemma":0.00001111617,"domain_scores_codex":[0.9997298,0.000006757896,0.0001160727,0.00004752998,0.00002978961,0.00007008101],"domain_scores_gemma":[0.9997298,0.0000371916,0.00001939623,0.0001778765,0.00002345217,0.00001232749],"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":[0.000005582738,0.000009560501,0.000003138962,0.000005595964,0.00001061676,8.817636e-8,0.00005847678,0.9919055,0.0008643647,0.003190415,0.001744933,0.002201745],"study_design_scores_gemma":[0.0006445222,0.0001373903,0.000007268588,0.0000125852,0.00001049559,0.000003342928,0.0002780012,0.9168118,0.07097998,0.00864487,0.0023511,0.0001186623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00357479,0.0003467712,0.9948713,0.00009787082,0.00006402525,0.0003421356,0.000001661996,0.0003468742,0.0003545487],"genre_scores_gemma":[0.9567925,0.0003077625,0.04256619,0.00002164341,0.00001234492,0.0001698911,0.0001042329,0.00001135442,0.00001410307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9532177,"threshold_uncertainty_score":0.2116084,"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."}}