{"id":"W1564428840","doi":"","title":"Predicción de cobertura en sistemas LMDS/LMCS","year":2001,"lang":"es","type":"article","venue":"","topic":"Media and Digital Communication","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local Multipoint Distribution Service; Broadband; Computer science; Context (archaeology); Telecommunications; Wireless; Geography","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":[0.001682172,0.000772246,0.0006151731,0.00241859,0.00060367,0.001987541,0.0005119228,0.000814327,0.002329273],"category_scores_gemma":[0.009575471,0.0003567624,0.0005144071,0.001071655,0.0004903591,0.0008194626,0.0005903125,0.0003307459,0.0004629818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370004,"about_ca_system_score_gemma":0.0004786736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03121398,"about_ca_topic_score_gemma":0.01834669,"domain_scores_codex":[0.9993324,0.0001907813,0.00003475273,0.0001576018,0.0001511134,0.0001333187],"domain_scores_gemma":[0.9923733,0.006083755,0.0005183686,0.0001913387,0.0006101929,0.0002230141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000620785,0.00006948326,0.3896799,0.00006893097,0.0001110098,0.000338154,0.0001461592,0.5617865,0.002990023,0.002766672,0.0008947752,0.04052761],"study_design_scores_gemma":[0.00001811083,0.00006815208,0.06558847,0.00001041881,0.00005146327,0.0001098282,0.0001657379,0.9300605,0.002209948,0.00104275,0.0006597562,0.00001491707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806458,0.0002238181,0.01653098,0.00007125176,0.000006463903,0.00002057092,0.0002776243,0.0004215101,0.001801937],"genre_scores_gemma":[0.9958611,0.00006470174,0.003399401,0.000005579009,0.000007826369,0.00001079792,0.0003344012,0.00002012004,0.0002960653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03121398,"threshold_uncertainty_score":0.06206465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933550534931617,"score_gpt":0.2684906339208901,"score_spread":0.249155128571574,"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."}}