{"id":"W4238694306","doi":"10.1145/3243046","title":"Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &amp; Ubiquitous Networks","year":2018,"lang":"en","type":"paratext","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireless ad hoc network; Computer science; Wireless sensor network; Variety (cybernetics); Pleasure; Telecommunications; Wireless; World Wide Web; Computer network; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00986454,0.002195287,0.002423723,0.002088674,0.000992745,0.004843669,0.001908537,0.001563833,0.03007038],"category_scores_gemma":[0.01482658,0.0005757526,0.0008591281,0.001805575,0.001056506,0.003891555,0.002178943,0.003084585,0.0109429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751834,"about_ca_system_score_gemma":0.003659906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00565656,"about_ca_topic_score_gemma":0.006208384,"domain_scores_codex":[0.9912989,0.002789936,0.0006708015,0.0006685327,0.004096574,0.0004753367],"domain_scores_gemma":[0.9824399,0.004761077,0.0006016322,0.001824694,0.008160172,0.002212605],"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":[0.000606009,0.0006259387,0.007369757,0.0008419497,0.0002983514,0.0002860627,0.0003284795,0.005107959,0.00449577,0.01236027,0.504539,0.4631405],"study_design_scores_gemma":[0.0001214276,0.0009519545,0.01099623,0.001088207,0.000233745,0.0007598551,0.0005585995,0.04513101,0.00445471,0.0130348,0.9225363,0.000133108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05042088,0.1591484,0.3666801,0.02687568,0.09344408,0.003306838,0.0084711,0.006891675,0.2847613],"genre_scores_gemma":[0.2723671,0.1199886,0.1886517,0.004143102,0.02764767,0.003054314,0.02604216,0.002814555,0.3552908],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9699296,"threshold_uncertainty_score":0.1005955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266236293290031,"score_gpt":0.279162113854863,"score_spread":0.2525384845258599,"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."}}