{"id":"W1605297721","doi":"10.3989/ic.2001.v53.i476.649","title":"Los impactos de las estaciones de telefonía móvil","year":2001,"lang":"es","type":"article","venue":"Informes de la Construcción","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Mobile telephone; Telecommunications; Mobile radio telephone; Computer science; Business; Environmental science; Telephone network; Computer network; Telephone line","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008572616,0.0004035904,0.0001978542,0.000907235,0.001014532,0.003270892,0.000480457,0.0007616527,0.01990528],"category_scores_gemma":[0.003270294,0.0001307201,0.000314024,0.0009327893,0.001236832,0.002034772,0.001581968,0.000642207,0.001264971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482201,"about_ca_system_score_gemma":0.0007051835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006297336,"about_ca_topic_score_gemma":0.009677823,"domain_scores_codex":[0.9991785,0.0002432647,0.00002950587,0.00007429244,0.000285557,0.0001888906],"domain_scores_gemma":[0.9973731,0.001336502,0.0004334122,0.0001675248,0.0005469687,0.0001425938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009850207,0.0004019635,0.1175112,0.001627063,0.0001663453,0.002016285,0.01631491,0.02581541,0.01796929,0.2731736,0.01805367,0.5259653],"study_design_scores_gemma":[0.00009727231,0.0007746262,0.4121029,0.001709229,0.0003738211,0.001960026,0.05034673,0.009882767,0.01837172,0.1022215,0.4019859,0.000173557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731736,0.00429855,0.01992602,0.005373784,0.0003408479,0.00006552268,0.0007251371,0.0002602019,0.3958364],"genre_scores_gemma":[0.9773846,0.002987098,0.001524972,0.0001934684,0.0001024581,0.00002908425,0.0001269058,0.00002985537,0.01762144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01990528,"threshold_uncertainty_score":0.06658977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004764214901155968,"score_gpt":0.2572082540401889,"score_spread":0.2524440391390329,"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."}}