{"id":"W2132116081","doi":"10.1109/pccc.1994.504109","title":"Global Opportunities for North American Telecommunications Firms","year":2005,"lang":"en","type":"article","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telecommunications; Computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185038,0.0003544279,0.0001508376,0.002420853,0.002714303,0.007517273,0.0004075401,0.001860937,0.03137434],"category_scores_gemma":[0.001399985,0.00024908,0.0002764416,0.005125802,0.0007724786,0.00393011,0.001689345,0.001130332,0.00264332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778221,"about_ca_system_score_gemma":0.007260319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335688,"about_ca_topic_score_gemma":0.06412012,"domain_scores_codex":[0.9990721,0.0001516311,0.00002993139,0.00006554911,0.0002632686,0.0004175397],"domain_scores_gemma":[0.9981405,0.0004114214,0.0002326303,0.00006422525,0.0005080088,0.000643371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001293621,0.0001922731,0.01391865,0.001051071,0.00002757567,0.001275388,0.002951975,0.0006858348,0.00147876,0.1764942,0.3983928,0.4034021],"study_design_scores_gemma":[0.000004514227,0.00002855954,0.01325033,0.0003558532,0.000009699266,0.0002623811,0.003885592,0.00006955304,0.0002152828,0.004415081,0.9774917,0.00001152013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05023071,0.1360958,0.0006835259,0.1146383,0.002431479,0.00005009769,0.0007603136,0.000113167,0.6949966],"genre_scores_gemma":[0.440209,0.209736,0.001940414,0.02365413,0.001794246,0.0001002539,0.001724815,0.00005776226,0.3207833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03137434,"threshold_uncertainty_score":0.1049576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405240499242773,"score_gpt":0.2812844422270783,"score_spread":0.2372320372346505,"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."}}