{"id":"W2725171846","doi":"","title":"Integration of Telecom Databases with Geodatabase Model for The Effective Telecom Network Management Through Geo-Informatics","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enhanced Telecom Operations Map; Telecommunications; Telecom infrastructure sharing; Computer science; Telecommunications service; Context (archaeology); Network management; Service (business); Database; Service provider; Business; Computer network; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00508373,0.0001423242,0.0003177231,0.0001102574,0.003620088,0.0002807022,0.001023226,0.00003209573,0.000006870383],"category_scores_gemma":[0.0001607177,0.00007854732,0.0001026255,0.0003277746,0.001404358,0.001611205,0.0001316654,0.0001490925,0.000002189522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004926063,"about_ca_system_score_gemma":0.0001782296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002580028,"about_ca_topic_score_gemma":0.001199881,"domain_scores_codex":[0.9978572,0.00003959491,0.0006904651,0.0001054872,0.0009610233,0.0003462985],"domain_scores_gemma":[0.996507,0.0006023573,0.002089484,0.0003229695,0.0004265525,0.0000516765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003693316,0.0001316966,0.004717511,0.00023918,0.0005640825,0.00000201541,0.07514768,0.05958909,0.00005732857,0.7936265,0.009379705,0.05617587],"study_design_scores_gemma":[0.007241089,0.001553753,0.04330713,0.0020899,0.00139754,0.00004767447,0.6211993,0.169184,0.001722409,0.06362708,0.08705486,0.001575244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08864415,0.0002776707,0.8335119,0.001695295,0.0008180336,0.002608112,0.00004293393,0.00002512587,0.0723767],"genre_scores_gemma":[0.9489388,0.0002411789,0.05029375,0.0001543272,0.0002093871,0.00007201029,0.000001853667,0.000004721767,0.00008397929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8602946,"threshold_uncertainty_score":0.9976771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05612634762315664,"score_gpt":0.3376640076947137,"score_spread":0.2815376600715571,"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."}}