{"id":"W4255394564","doi":"10.32920/14636175.v1","title":"Technological Literacy and Interrupted Internet Access","year":2021,"lang":"en","type":"preprint","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internet access; Digital divide; The Internet; Business; Broadband; Rural area; Literacy; Mobile broadband; Telecommunications; Digital literacy; Economic growth; Political science; Computer science; Economics; World Wide Web","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":[0.001650705,0.000113653,0.0001696028,0.001428915,0.002944974,0.004269434,0.000443218,0.001028721,0.007138631],"category_scores_gemma":[0.01283665,0.0001798731,0.0001837642,0.00112616,0.009216535,0.004311256,0.006922534,0.001969317,0.0003822014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850718,"about_ca_system_score_gemma":0.001355329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096986,"about_ca_topic_score_gemma":0.003744357,"domain_scores_codex":[0.9976155,0.001186758,0.0001355586,0.0001856,0.0004053657,0.0004712124],"domain_scores_gemma":[0.9920748,0.004311481,0.001854013,0.0003524626,0.0006086587,0.0007984452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008359524,0.0004618191,0.1485501,0.0003085272,0.0000225863,0.003402642,0.6279282,0.0002598825,0.0009335512,0.1237103,0.00300786,0.09133099],"study_design_scores_gemma":[0.00002914291,0.0003486814,0.2261939,0.001232043,0.0000540816,0.005181706,0.6010659,0.001259249,0.001110221,0.06442384,0.09902415,0.00007703454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449114,0.0005009532,0.0006061928,0.005715278,0.00001867816,0.00001851825,0.00002088625,0.000007709217,0.04820035],"genre_scores_gemma":[0.9973127,0.0002675192,0.00009258982,0.0002886604,0.000008008928,0.00001167387,0.000008414322,0.000003253994,0.002007077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007138631,"threshold_uncertainty_score":0.02388114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689944321287589,"score_gpt":0.3092013695304308,"score_spread":0.2823019263175549,"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."}}