{"id":"W2047254608","doi":"10.1109/mcom.2012.6194380","title":"The history of telenet and the commercialization of packet switching in the U.S.","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circuit switching; Telecommunications; Packet switching; Commercialization; Network packet; Packet analyzer; Computer science; History of computing; Business; Computer network; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00265747,0.00007190391,0.0001159093,0.00005322316,0.0001582415,0.00002472966,0.002498092,0.00001944159,0.000002093105],"category_scores_gemma":[0.00006869567,0.0000387365,0.00003296873,0.0003234182,0.0003447811,0.0001748537,0.0005045834,0.0001439791,0.00000383075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007481169,"about_ca_system_score_gemma":0.00003637367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000099505,"about_ca_topic_score_gemma":0.0003248731,"domain_scores_codex":[0.9984221,0.0008541948,0.0003278795,0.00007574755,0.0001813735,0.0001387084],"domain_scores_gemma":[0.9958096,0.001285788,0.0002490393,0.002583096,0.00005548238,0.00001696271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002880184,0.0003332979,0.005173921,0.00004017151,0.00004804802,2.091463e-7,0.01697279,0.0006052884,0.0003301209,0.7847432,0.07835018,0.113374],"study_design_scores_gemma":[0.001371015,0.00005015913,0.05003431,0.00007362377,0.00005753931,0.00000557111,0.0004400148,0.1198602,0.0000783272,0.00523817,0.8226047,0.0001864297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07788948,0.1344294,0.5882832,0.1063439,0.004604633,0.006089683,0.0000116918,0.0001977897,0.08215024],"genre_scores_gemma":[0.9944188,0.002465134,0.002288,0.0005794227,0.00002836063,0.00008470583,0.000003103956,0.000005045156,0.0001274116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9165294,"threshold_uncertainty_score":0.4642118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552659329469013,"score_gpt":0.2636707244979151,"score_spread":0.2281441312032249,"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."}}