{"id":"W6939245379","doi":"10.60692/07etb-bd659","title":"Evolution and advance usage of Internet in Peru","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Technology in Education and Healthcare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); The Internet; Information and Communications Technology; Population; Internet access; Informatics; Information technology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000209385,0.00004015295,0.00008974705,0.000101364,0.00004927317,0.00001790203,0.00008091249,0.00007887844,0.00001618005],"category_scores_gemma":[0.0000608113,0.00003890807,0.00001128387,0.0002095906,0.00006618436,0.0003477124,0.00001796497,0.00006279411,0.00005581459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000889396,"about_ca_system_score_gemma":0.00005629499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001613048,"about_ca_topic_score_gemma":0.00001747248,"domain_scores_codex":[0.9994289,0.00005196648,0.0002592322,0.0000572064,0.0001080516,0.00009468973],"domain_scores_gemma":[0.9996878,0.000004343841,0.0001298131,0.00006060173,0.00006628502,0.00005115601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007486715,4.60015e-7,0.5104401,0.0001355259,0.000001163144,1.213184e-7,0.4727654,0.000003249654,3.691647e-7,0.01609673,0.00004078856,0.0005085986],"study_design_scores_gemma":[0.0004144183,0.00003717862,0.447116,0.00013058,0.000002993234,0.000001762409,0.5464786,0.0008179735,0.00005399428,0.00001535867,0.004836735,0.0000943359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897779,0.00001268561,0.002226932,0.001886555,0.0001537803,0.0002048137,0.00001193559,0.0000930056,0.005632353],"genre_scores_gemma":[0.9995869,6.393386e-7,0.0001481501,0.0001753387,0.00002743811,0.00001290542,0.000001515599,0.00000144181,0.00004563727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07371323,"threshold_uncertainty_score":0.1586625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436578765770806,"score_gpt":0.2867237817390697,"score_spread":0.2430659051619891,"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."}}