{"id":"W1512133649","doi":"10.1145/3084041","title":"Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Steering committee; Engineering; Engineering management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384189,0.0001954881,0.0002400128,0.0000578356,0.0002711818,0.0005439529,0.002916865,0.0001182728,0.00001380678],"category_scores_gemma":[0.00002172585,0.0001347665,0.0001109907,0.00006130065,0.00006994984,0.0001738929,0.001967554,0.000355524,0.00004960408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004126083,"about_ca_system_score_gemma":0.00004019458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002649746,"about_ca_topic_score_gemma":0.000003245392,"domain_scores_codex":[0.9987807,0.00001251683,0.0002256862,0.0004441421,0.0003464788,0.0001904856],"domain_scores_gemma":[0.9987808,0.00009403958,0.0004188232,0.0005143606,0.0001514487,0.00004048357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005965431,0.0001824946,0.001142694,0.0002756791,0.0003818228,0.000005608314,0.002629858,0.001347682,0.003159237,0.00553562,0.6561911,0.3290886],"study_design_scores_gemma":[0.001019294,0.0004188384,0.001031957,0.003812306,0.00005248863,0.00008605018,0.0001846158,0.1515037,0.001051169,0.000346344,0.8394631,0.001030126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1615547,0.005183544,0.004113866,0.003734836,0.03369623,0.001127253,0.00002828816,0.0002124577,0.7903489],"genre_scores_gemma":[0.8590553,0.001502176,0.001115013,0.0005786891,0.001334191,0.00001518539,0.000008423062,0.00002709589,0.136364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6975006,"threshold_uncertainty_score":0.5495619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077684002124849,"score_gpt":0.258025964897912,"score_spread":0.2372491248766635,"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."}}