{"id":"W4385485775","doi":"10.2139/ssrn.4527126","title":"Consumer Preferences, Perceptions, and Persistent Barriers: An Assessment of Internet Usage During and Post COVID-19 Pandemic in Peru","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Perception; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); The Internet; Psychology; Internet privacy; Medicine; Business; Virology; Computer science; World Wide Web; Internal medicine; Neuroscience; Outbreak","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":[],"consensus_categories":[],"category_scores_codex":[0.002441888,0.00008705442,0.0001497651,0.0001830362,0.0002829441,0.00006549354,0.0001531491,0.00008080333,0.0001512144],"category_scores_gemma":[0.0003316144,0.0000798286,0.00003788366,0.0001574129,0.0003160887,0.0002533155,0.00003667349,0.0006885841,0.000002735806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007105169,"about_ca_system_score_gemma":0.003669264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003954466,"about_ca_topic_score_gemma":0.0276758,"domain_scores_codex":[0.998048,0.0003217282,0.0002338555,0.0001590476,0.0002613966,0.0009759499],"domain_scores_gemma":[0.9993232,0.0001144169,0.00008937769,0.00007158405,0.00004983979,0.0003515204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001242739,0.00001320088,0.9574828,0.00002659717,0.00003449248,0.000003582265,0.02577802,0.00001159663,0.0004279819,0.01491164,0.00000884522,0.001288834],"study_design_scores_gemma":[0.001229756,0.000517803,0.5313552,0.00009252417,0.0000617309,0.0001979128,0.4454558,0.0002669315,0.000005059876,0.0191707,0.001365815,0.0002807061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981809,0.0007903127,0.00001809109,0.0005060516,0.0000645826,0.0001188269,0.000008378176,0.00001920339,0.0002936476],"genre_scores_gemma":[0.9807221,0.0185819,0.00001962154,0.0001255365,0.00006810377,0.000005891731,0.000004254198,0.000005791071,0.0004667637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4261276,"threshold_uncertainty_score":0.9900666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747536855419829,"score_gpt":0.3736087483208692,"score_spread":0.3361333797666709,"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."}}