{"id":"W2365707593","doi":"","title":"A Study on How to Position H.323 Caller's Location Information","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Internet of Things and Social Network Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Position (finance); Gateway (web page); Service (business); Computer network; Information center; Center (category theory); Telecommunications; Information retrieval; World Wide Web; Real-time computing; Business","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":[0.001335202,0.0003168031,0.0002979647,0.0004671931,0.0009653134,0.001201197,0.0006897851,0.0008038549,0.00501149],"category_scores_gemma":[0.006544412,0.0002424161,0.0003547734,0.0005704524,0.0005696029,0.001938685,0.0003597459,0.0006300074,0.00153413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022588,"about_ca_system_score_gemma":0.0009561185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026761,"about_ca_topic_score_gemma":0.008533589,"domain_scores_codex":[0.9984861,0.0006579457,0.00008010689,0.0002422452,0.0004320761,0.0001015378],"domain_scores_gemma":[0.9973111,0.001508733,0.0001288228,0.0003477311,0.0006288243,0.00007475257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009279996,0.001042597,0.03499635,0.001170951,0.0001095877,0.001245673,0.01638807,0.008444421,0.08225817,0.02938118,0.01238376,0.8116512],"study_design_scores_gemma":[0.0004312961,0.005088525,0.09617017,0.0006187542,0.0008266891,0.006378059,0.05442651,0.1870483,0.284193,0.0191767,0.3449084,0.0007335816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6978422,0.001870255,0.2341406,0.001715748,0.0002983006,0.0009026752,0.0003889894,0.0005850822,0.06225609],"genre_scores_gemma":[0.8413056,0.002338173,0.1179132,0.0003465072,0.0000858546,0.0002302511,0.0004632531,0.0001258284,0.03719141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026761,"threshold_uncertainty_score":0.02041572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006714766502152479,"score_gpt":0.2389798446908767,"score_spread":0.2322650781887242,"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."}}