{"id":"W1600081363","doi":"10.1109/ictel.2003.1191463","title":"Implementing online feature interaction detection in SIP environment: early results","year":2003,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Component (thermodynamics); Computer science; Feature (linguistics); Focus (optics); Context (archaeology); Voice over IP; Telephony; Computer network; User agent; Distributed computing; Intelligent Network; Operating system; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004093958,0.0001682521,0.0001421332,0.00009841816,0.0000552516,0.0000386401,0.00006756708,0.0001314829,0.0001222205],"category_scores_gemma":[0.00004453398,0.0001795497,0.00005047352,0.0001738063,0.00001155816,0.0002802475,0.0000313702,0.0004352573,0.00003476995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776588,"about_ca_system_score_gemma":0.000003756725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286455,"about_ca_topic_score_gemma":0.00303558,"domain_scores_codex":[0.9988129,0.00006695669,0.0003127081,0.0002561387,0.0001429982,0.0004082845],"domain_scores_gemma":[0.9995936,0.00005875311,0.00004423075,0.0002432145,0.00001052615,0.00004968902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001281928,0.001899673,0.04910468,0.0006735673,0.000497683,0.0001212483,0.01054636,0.3294129,0.174409,0.001567804,0.004405551,0.4260796],"study_design_scores_gemma":[0.009754026,0.0004374307,0.1551739,0.0001848387,0.0001052844,0.00006936093,0.002206454,0.2807769,0.1996077,0.001346129,0.3483303,0.002007681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874312,0.0001496423,0.005095252,0.00003158967,0.0006600245,0.000284191,0.00001562064,0.0002242393,0.006108184],"genre_scores_gemma":[0.9985363,0.00005809831,0.0008860651,0.00002294168,0.0001321235,0.00001529276,0.00003396807,0.00002839134,0.000286759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4240719,"threshold_uncertainty_score":0.7321822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813703372594587,"score_gpt":0.2175563696136788,"score_spread":0.2094193358877329,"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."}}