{"id":"W2312824131","doi":"10.1109/access.2016.2537648","title":"Inflight Broadband Connectivity Using Cellular Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Cellular network; Broadband; Roaming; Computer network; Telecommunications; Broadband networks; Beamforming; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007543971,0.0001280374,0.0001469867,0.00005644705,0.00005140891,0.00005109726,0.0001724549,0.00008923018,0.00004259419],"category_scores_gemma":[0.00001715099,0.0001007528,0.00002913879,0.0001663532,0.00002070792,0.0008071592,0.00002466641,0.00006109461,0.00001179393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013518,"about_ca_system_score_gemma":0.000007267599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001755749,"about_ca_topic_score_gemma":0.00001511975,"domain_scores_codex":[0.9993645,0.00001971578,0.0001674691,0.0001559755,0.00006965133,0.0002226816],"domain_scores_gemma":[0.9995582,0.00006744671,0.00004279344,0.0002328358,0.00004308141,0.000055681],"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":[0.000003599167,0.00000456805,0.001963256,0.00001720862,0.00001623054,0.000004979105,0.00001898556,0.9355084,0.05978641,0.00002664495,0.000288815,0.002360857],"study_design_scores_gemma":[0.0007821259,0.00001104215,0.0003646816,0.0001893658,0.00002335785,0.00001040657,0.000004843318,0.7208564,0.2750908,0.0002587301,0.001928708,0.0004794559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2273189,0.000207625,0.7704489,0.000006787223,0.0009408405,0.0001205487,0.000002742281,0.0002336859,0.0007199362],"genre_scores_gemma":[0.9988351,0.00003755235,0.0006369568,0.0000137358,0.0003394806,0.00001049749,0.000001191108,0.00004097852,0.00008454168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7715161,"threshold_uncertainty_score":0.4108579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037972284771492,"score_gpt":0.2561996632522275,"score_spread":0.2358199404045126,"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."}}