{"id":"W1984234945","doi":"10.1080/1369118x.2015.1012532","title":"Digital inequalities and why they matter","year":2015,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":1139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Inequality; Social inequality; Sociology; Politics; Social capital; Media studies; Political science; Social science; Law; Mathematics","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":[0.000680168,0.00006571806,0.00007458116,0.00002691359,0.0004472864,0.0004031177,0.0003554932,0.0001222905,0.00003613727],"category_scores_gemma":[0.0002169425,0.0000654692,0.00003864209,0.0001001048,0.0003380628,0.003230035,0.0001673374,0.0001517546,0.0002577704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263535,"about_ca_system_score_gemma":0.00008026962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004718115,"about_ca_topic_score_gemma":0.00006387675,"domain_scores_codex":[0.9992623,0.00007535196,0.0002172644,0.00004113329,0.0002582249,0.0001457285],"domain_scores_gemma":[0.999185,0.00005925207,0.0001474346,0.0003210095,0.0002035019,0.00008382608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001173913,0.00005115473,0.06162407,0.00002392616,0.00003521172,3.250376e-8,0.4029997,0.000008817824,0.00000177723,0.03229837,0.4806246,0.02232057],"study_design_scores_gemma":[0.0006101913,0.00001543324,0.009454394,0.0000285466,0.000006439269,0.000001897703,0.211637,0.000183966,0.00001226731,0.01257046,0.7652915,0.0001878893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2143953,0.0003905485,0.003075592,0.06699309,0.0002109695,0.0006509596,0.0000563116,0.0008438876,0.7133833],"genre_scores_gemma":[0.9930593,0.0002012393,0.001108752,0.00490593,0.00001666705,0.00001038623,0.00005168474,0.000003890631,0.0006421384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7786639,"threshold_uncertainty_score":0.3887273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816049244055418,"score_gpt":0.3084057894299597,"score_spread":0.2702452969894055,"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."}}