{"id":"W3160889546","doi":"10.1109/mcom.001.2200025","title":"HAPS-ITS: Enabling Future ITS Services in Trans-Continental Highways","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Intelligent transportation system; Context (archaeology); Enabling; Payload (computing); Sustainability; Globalization; Transport engineering; Telecommunications; Computer security; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006194055,0.0004284728,0.0001765051,0.0003936418,0.0006862601,0.001873472,0.0008389049,0.0008551067,0.003285764],"category_scores_gemma":[0.0009495364,0.0001105015,0.0002134145,0.000627085,0.0004323709,0.002253669,0.002659175,0.0007324276,0.001215338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006481317,"about_ca_system_score_gemma":0.001398453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009885712,"about_ca_topic_score_gemma":0.01207639,"domain_scores_codex":[0.999525,0.0001091564,0.00001964177,0.00004521369,0.0001047761,0.0001962701],"domain_scores_gemma":[0.99943,0.00004577224,0.00003762617,0.00006789329,0.0002831878,0.0001354549],"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":[0.0004615222,0.0002531434,0.02680992,0.0012452,0.0001352145,0.002803035,0.003330449,0.07987003,0.04990285,0.1939323,0.1258533,0.515403],"study_design_scores_gemma":[0.00003909444,0.0003894795,0.01091817,0.0003303686,0.00008389343,0.001027741,0.006972216,0.1522717,0.01464781,0.02611323,0.7871205,0.00008589797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3590317,0.006676276,0.3807699,0.009862155,0.002276782,0.0008857331,0.00361919,0.008643521,0.2282348],"genre_scores_gemma":[0.9267155,0.002728912,0.0521865,0.0006567859,0.000237741,0.0001610928,0.002481969,0.0001586897,0.01467284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009885712,"threshold_uncertainty_score":0.0196563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145696802798789,"score_gpt":0.2293118787233587,"score_spread":0.2147421984434798,"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."}}