{"id":"W1599656852","doi":"","title":"Proceedings of the 13th annual ACM international conference on Mobile computing and networking","year":2007,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Library science; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005285909,0.0000859774,0.00009106842,0.00005412564,0.0001271907,0.0001051489,0.0009722753,0.00003497217,0.000001574991],"category_scores_gemma":[0.00002493978,0.00006047707,0.00002903452,0.0002123054,0.00005178292,0.0001685204,0.0009643831,0.0001303782,0.000002001185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002016199,"about_ca_system_score_gemma":0.00001931167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000116138,"about_ca_topic_score_gemma":9.610615e-7,"domain_scores_codex":[0.9991397,0.000005300491,0.0001957056,0.0002187603,0.000226929,0.0002135573],"domain_scores_gemma":[0.9994314,0.0001050721,0.0001165699,0.0001419355,0.0001657399,0.00003924583],"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":[0.00002298126,0.0001135647,0.08723586,0.00003372819,0.00004161779,0.000004013253,0.01061448,0.00008425783,0.002200702,0.1345595,0.009663248,0.755426],"study_design_scores_gemma":[0.001159983,0.0004249958,0.1451141,0.0006361203,0.00001188827,0.0001115504,0.001754199,0.7821142,0.01465356,0.01203121,0.04123123,0.0007569556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918564,0.00002687257,0.04275093,0.000567976,0.00632654,0.0001666192,1.324078e-7,0.000109704,0.05819482],"genre_scores_gemma":[0.9858052,0.000002515897,0.01279184,0.0002362922,0.00100936,4.575839e-7,1.618737e-7,0.000003778756,0.0001504375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78203,"threshold_uncertainty_score":0.2466183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288636556249,"score_gpt":0.2782562923624662,"score_spread":0.2553699267999762,"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."}}