{"id":"W2358598252","doi":"","title":"Compatibility and Competition Between 3G and WLAN","year":2003,"lang":"en","type":"article","venue":"Zhongxing Telecom Technology","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Compatibility (geochemistry); Computer science; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003391027,0.0002255587,0.0003836471,0.0001913157,0.0001298592,0.00003559745,0.0001450803,0.0003399908,0.00003082216],"category_scores_gemma":[0.00008799702,0.0002538842,0.00002845744,0.0003253679,0.0002812977,0.0001007744,0.00009095619,0.0005029943,0.000009955342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007873811,"about_ca_system_score_gemma":0.000009302847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001761482,"about_ca_topic_score_gemma":0.0001064244,"domain_scores_codex":[0.9987648,0.00006289274,0.0002974535,0.0003717815,0.0000939323,0.0004091779],"domain_scores_gemma":[0.9992911,0.0001323744,0.00004406986,0.0004195518,0.00003534732,0.00007757724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009942803,0.00007764641,0.9325638,0.0003364061,0.0001110811,0.00001545528,0.000274077,0.0001848163,0.002795027,0.03690511,0.0001616848,0.02656497],"study_design_scores_gemma":[0.005647914,0.0006925059,0.5448742,0.0003348162,0.0002962333,0.0004233973,0.0006505959,0.03814279,0.03350192,0.3307595,0.04176218,0.002913955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878734,0.001224579,0.008128547,0.0001404002,0.0002244561,0.0002675218,0.00001164693,0.001125769,0.001003669],"genre_scores_gemma":[0.9964527,0.0001010612,0.003302422,0.00002118827,0.00005186673,0.0000179355,0.00001191777,0.00003242961,0.000008506702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876896,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006074012386604821,"score_gpt":0.1950644232762429,"score_spread":0.1889904108896381,"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."}}