{"id":"W7155259646","doi":"","title":"Telecomunicaciones: Servicios con efectos positivos para enfrentar la crisis","year":2009,"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":"Work (physics); Context (archaeology); Latin Americans; Field (mathematics); Government (linguistics)","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":[0.001983661,0.0005035191,0.0003759179,0.002433748,0.003172212,0.007655519,0.0008477523,0.001811903,0.01196901],"category_scores_gemma":[0.01090775,0.0002515405,0.0003439144,0.00562726,0.002313284,0.003689013,0.002475708,0.00226137,0.000936699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106184,"about_ca_system_score_gemma":0.02711076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4286003,"about_ca_topic_score_gemma":0.5773124,"domain_scores_codex":[0.9979941,0.0005565407,0.00005441108,0.00007218038,0.000520617,0.0008022782],"domain_scores_gemma":[0.9897839,0.004562226,0.001338929,0.0002584909,0.002083978,0.001972408],"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":[0.0007736156,0.001011791,0.6127095,0.000673221,0.0001144895,0.001608613,0.03458852,0.002272271,0.0007120474,0.07392671,0.112774,0.1588352],"study_design_scores_gemma":[0.0001140903,0.0001927854,0.6465219,0.001027966,0.0003049768,0.0003702409,0.2389626,0.002973831,0.001595491,0.01157974,0.09629422,0.00006203715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6772221,0.00699323,0.0006682353,0.04610498,0.0002076539,0.0001857815,0.002222419,0.00007355565,0.2663221],"genre_scores_gemma":[0.9711127,0.007083165,0.0003493415,0.001465922,0.00008954587,0.00005702117,0.0004854702,0.00002059152,0.01933621],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4286003,"threshold_uncertainty_score":0.8522112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872061217544278,"score_gpt":0.2784320001480587,"score_spread":0.249711387972616,"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."}}