{"id":"W7155335737","doi":"","title":"Entorno Regulatorio de las Telecomunicaciones: Perú 2007 -2009","year":2010,"lang":"es","type":"report","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Set (abstract data type); Work (physics); Perspective (graphical); Tourism","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":[0.0007389435,0.000268126,0.0002940642,0.001612839,0.001295286,0.002652054,0.0005110932,0.0008255918,0.006219906],"category_scores_gemma":[0.003820681,0.0003003181,0.0002687161,0.004159379,0.0004255027,0.001133443,0.001836532,0.0008672642,0.001159825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007858216,"about_ca_system_score_gemma":0.01080388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3407166,"about_ca_topic_score_gemma":0.3986022,"domain_scores_codex":[0.9990498,0.0001204717,0.00004922137,0.0001182226,0.0003399755,0.0003222982],"domain_scores_gemma":[0.9971671,0.0003286898,0.0007392446,0.00008387687,0.001399057,0.0002821333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004410907,0.0002691542,0.6600546,0.001322847,0.0002701022,0.002572838,0.01992337,0.003128295,0.007712673,0.0414435,0.1132774,0.1495841],"study_design_scores_gemma":[0.00002473411,0.0001067818,0.6992154,0.0002103611,0.00007883606,0.0002600205,0.007161326,0.001006109,0.001819032,0.0003970919,0.2897007,0.00001960445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6829652,0.01109123,0.00326272,0.02607472,0.0002500838,0.0004759853,0.03487588,0.0006492987,0.2403548],"genre_scores_gemma":[0.8438497,0.009551733,0.001545898,0.001155442,0.0002205683,0.0003699883,0.01085886,0.00007575726,0.132372],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3407166,"threshold_uncertainty_score":0.6774668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450366976116724,"score_gpt":0.2665433940488417,"score_spread":0.2420397242876745,"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."}}