{"id":"W4414807368","doi":"10.1016/b978-0-443-22392-1.00001-8","title":"Surviving mixed traffic","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Neurotrauma Foundation","funders":"","keywords":"Government (linguistics); Service (business); Key (lock); Automation; Critical infrastructure; Service provider","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":[0.0003516891,0.0007707308,0.0004611305,0.0008361936,0.001124378,0.00235737,0.0009626325,0.001281313,0.02830197],"category_scores_gemma":[0.00114438,0.0003116707,0.0003472796,0.0005415546,0.000755253,0.003157282,0.002489643,0.001577288,0.009815196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777004,"about_ca_system_score_gemma":0.0005505431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141955,"about_ca_topic_score_gemma":0.001655726,"domain_scores_codex":[0.9998165,0.00001849397,0.000004348869,0.00002626603,0.00008704524,0.00004747046],"domain_scores_gemma":[0.999638,0.00007281839,0.00001702993,0.00008727348,0.0001098506,0.00007507161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009761099,0.00008449129,0.0005787408,0.0001740464,0.00002860893,0.0006319747,0.0004894327,0.007967047,0.009740297,0.4082742,0.1637454,0.4081881],"study_design_scores_gemma":[0.00001534595,0.0001074056,0.0004526032,0.000184256,0.00002922053,0.00102173,0.0005070178,0.03279581,0.004978987,0.2983574,0.6615213,0.00002899236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03232862,0.01029147,0.1176334,0.005435656,0.006181304,0.00007778691,0.0003290479,0.001753819,0.8259688],"genre_scores_gemma":[0.1784437,0.007633615,0.02312388,0.00156518,0.001679147,0.00008116863,0.0005529667,0.0006007545,0.7863197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02830197,"threshold_uncertainty_score":0.09467947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119185389976846,"score_gpt":0.2205884470552161,"score_spread":0.2086699080575315,"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."}}