{"id":"W2954687061","doi":"10.1145/3330089.3330107","title":"Towards Mobile Collaborative Autonomous Networks Using Peer-to-Peer Communication","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Peer-to-peer; Peer review; Mobile telephony; Computer network; Mobile computing; Human–computer interaction; Distributed computing; Mobile radio","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":[0.001545664,0.0005410941,0.0006234573,0.0007164788,0.001135156,0.002022157,0.00200989,0.002071206,0.00124513],"category_scores_gemma":[0.003070593,0.0003838871,0.0004249695,0.0006708992,0.001318714,0.003762038,0.002584475,0.001721165,0.0009466477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495625,"about_ca_system_score_gemma":0.0008497827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021323,"about_ca_topic_score_gemma":0.001101918,"domain_scores_codex":[0.9987966,0.0004084136,0.00006052151,0.0002064974,0.0004464055,0.00008161055],"domain_scores_gemma":[0.9990528,0.000329919,0.00007837235,0.0001766644,0.0002752318,0.00008703212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001135646,0.0001393177,0.0006540678,0.0004666964,0.00007452114,0.0009032986,0.0015011,0.0685866,0.02408966,0.6913462,0.008694007,0.203431],"study_design_scores_gemma":[0.00006554998,0.000252755,0.0002761648,0.0001316995,0.00005012546,0.0009141446,0.0004437233,0.5369254,0.01109662,0.3120742,0.1376902,0.0000793957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005555391,0.001227885,0.9836842,0.0006608978,0.0001980777,0.0001286303,0.00001283229,0.0003471025,0.008184994],"genre_scores_gemma":[0.2916976,0.004221134,0.6931952,0.0004889236,0.000550066,0.0003998777,0.0001015061,0.00007848677,0.009267147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002071206,"threshold_uncertainty_score":0.00817436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294881565983253,"score_gpt":0.301916038678611,"score_spread":0.2789672230187785,"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."}}