{"id":"W37384390","doi":"10.2196/48923","title":"Authentication, pre-Handoff and Handoff in Pure MANET","year":2006,"lang":"en","type":"dissertation","venue":"JMIR Research Protocols","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Handover; Computer network; Authentication (law); Computer science; Mobile ad hoc network; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001483023,0.0005726631,0.0006636376,0.0008036795,0.001020889,0.001284275,0.0009287838,0.0009154214,0.00543944],"category_scores_gemma":[0.002911501,0.0005153067,0.0003722214,0.0005951937,0.0006284602,0.002758261,0.001481849,0.001042481,0.003191243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370454,"about_ca_system_score_gemma":0.001028617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134434,"about_ca_topic_score_gemma":0.002147255,"domain_scores_codex":[0.9987755,0.0003087184,0.000101363,0.0001953121,0.000405875,0.0002132359],"domain_scores_gemma":[0.9984016,0.0005763118,0.00007250824,0.0005503891,0.0003161294,0.00008308744],"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":[0.00243589,0.0004758209,0.003879856,0.0006807249,0.0002152301,0.001488458,0.0005178946,0.08672738,0.06286501,0.1968643,0.02026152,0.623588],"study_design_scores_gemma":[0.0001133519,0.0004885698,0.002364274,0.00009857746,0.0001648823,0.001929973,0.0002139483,0.8280183,0.02338041,0.1161753,0.02695825,0.00009410895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0710784,0.00483085,0.8739045,0.0008855369,0.001037685,0.0005497896,0.0003269598,0.002560497,0.04482588],"genre_scores_gemma":[0.7985572,0.002901155,0.1166071,0.0002340634,0.0005725027,0.0002420627,0.0004656612,0.0001926683,0.08022761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00543944,"threshold_uncertainty_score":0.0181967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07033934143804046,"score_gpt":0.4729213425965302,"score_spread":0.4025820011584897,"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."}}