{"id":"W2357720576","doi":"","title":"Design and Realization of the Customer Service Digital Voice System Based on Telephone Network","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Power Systems and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Realization (probability); Telephone network; Scalability; Service (business); Interactive voice response; Telecommunications; Telephony; Software; Delphi; Telephone exchange; Computer network; Embedded system; Database; Operating system; Telephone line","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":[0.0003349488,0.0003042,0.0003218241,0.0003711235,0.0004319013,0.000787973,0.0008407583,0.0006739441,0.003448818],"category_scores_gemma":[0.0003068618,0.0002848032,0.000286929,0.0002341267,0.0002277608,0.0005856454,0.0003149975,0.0003048053,0.001082371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005680572,"about_ca_system_score_gemma":0.0006701777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159945,"about_ca_topic_score_gemma":0.001067001,"domain_scores_codex":[0.9994653,0.00009991162,0.00002393629,0.0001022256,0.0002296415,0.00007908689],"domain_scores_gemma":[0.9998233,0.00001835664,0.00001533536,0.00001665993,0.0001000067,0.00002634945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005268102,0.0002199276,0.004051263,0.0007748601,0.00009740121,0.001474379,0.0018712,0.02644647,0.5720471,0.06719937,0.01272898,0.3125624],"study_design_scores_gemma":[0.000396299,0.002511911,0.008317588,0.000154444,0.0003596614,0.003998129,0.0006147718,0.3791719,0.3555951,0.007378897,0.2412704,0.0002309989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07256031,0.0005300964,0.8807265,0.0004281595,0.0002555933,0.0005030088,0.0001435672,0.003177213,0.04167557],"genre_scores_gemma":[0.6963033,0.0004507668,0.2801439,0.0002262997,0.0001154783,0.0005846865,0.0003130522,0.0001396007,0.02172288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003448818,"threshold_uncertainty_score":0.01153743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806461157582344,"score_gpt":0.1684358638856937,"score_spread":0.1603712523098702,"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."}}