{"id":"W2795290031","doi":"","title":"A Connected Generation? Digital Inequalities in Elementary and High School Students According to Age and Socioeconomic Level","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Digital literacy in education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Mathematics education; Inequality; Psychology; Sociology; Computer science; Mathematics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001673491,0.0000638742,0.0001221586,0.0006311066,0.00007199968,0.0003437519,0.0001724802,0.00004441508,0.000004828672],"category_scores_gemma":[0.0002570563,0.00005516208,0.000006440323,0.0001050729,0.00006405778,0.0006642985,0.00006154268,0.0001230793,0.000002509901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053318,"about_ca_system_score_gemma":0.0001781915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002212727,"about_ca_topic_score_gemma":0.001471393,"domain_scores_codex":[0.9994442,0.00002091103,0.0002070587,0.0001296148,0.00004314302,0.0001550746],"domain_scores_gemma":[0.9995639,0.00005954771,0.00008863345,0.00006040431,0.00004905212,0.000178435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001378551,0.000004138703,0.8879991,0.000002589043,0.0000121479,0.00003942891,0.0005669351,0.000001957329,0.0003533043,0.005661184,0.00006087566,0.1052969],"study_design_scores_gemma":[0.005155363,0.002128099,0.8774691,0.0007588278,0.00002671371,0.001700891,0.0230706,0.0003902611,0.001221486,0.05654851,0.03037966,0.001150527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932294,0.0001532458,0.001583591,0.004836801,0.0001076924,0.00004348239,0.000005060187,0.00001051091,0.00003025379],"genre_scores_gemma":[0.9981881,0.00001426309,0.001515131,0.00008046466,0.00003548548,0.000002320558,9.812591e-7,0.000004314119,0.0001589022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1041464,"threshold_uncertainty_score":0.3314807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746086919757056,"score_gpt":0.2624995241423265,"score_spread":0.245038654944756,"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."}}