{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003979227,0.0005109151,0.0004550636,0.0002568229,0.0001842746,0.0004962112,0.0003903258,0.0005846435,0.0007697364],"category_scores_gemma":[0.0002957129,0.0005106273,0.000238446,0.0003773871,0.0003526658,0.0005519007,0.00008140977,0.0006333637,0.0002564623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005097089,"about_ca_system_score_gemma":0.0006756058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007706336,"about_ca_topic_score_gemma":0.00005040726,"domain_scores_codex":[0.9975837,0.00008162063,0.0005024877,0.0001063811,0.000245067,0.001480669],"domain_scores_gemma":[0.998328,0.0005518253,0.0001234503,0.0004105939,0.00006615993,0.0005200071],"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":[0.0001231578,0.00006817835,0.8401552,0.0006046497,0.0004518174,0.0001715452,0.01541854,0.004484721,0.004780598,0.05644835,0.009509257,0.06778397],"study_design_scores_gemma":[0.002386621,0.0002521368,0.3248186,0.0008242535,0.0002930803,0.008276054,0.00454824,0.0081724,0.01857961,0.003701919,0.6263911,0.001756039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8281245,0.000701382,0.001222649,0.0002536412,0.0002625244,0.0001786392,0.0001426598,0.0003854605,0.1687285],"genre_scores_gemma":[0.9952654,0.001918572,0.0008775559,0.0006193822,0.0005208849,0.0000122906,0.0000165616,0.00008409653,0.0006852223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6168818,"threshold_uncertainty_score":0.9997345,"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."}}