{"id":"W2888532252","doi":"10.1177/0899764018794907","title":"Bridging or Deepening the Digital Divide: Influence of Household Internet Access on Formal and Informal Volunteering","year":2018,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Commerce","keywords":"The Internet; Digital divide; Internet access; Quarter (Canadian coin); Public relations; Professionalization; Socioeconomic status; Business; Population; Bridging (networking); Government (linguistics); Internet privacy; Sociology; Political science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001869221,0.0001420245,0.0002033564,0.0006749643,0.001214061,0.001942091,0.0004018132,0.0004145024,0.008389573],"category_scores_gemma":[0.01332735,0.0001038928,0.0003284101,0.0006845069,0.001493557,0.001368765,0.002452384,0.0007374806,0.000512929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000463222,"about_ca_system_score_gemma":0.0006719339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007386102,"about_ca_topic_score_gemma":0.01217063,"domain_scores_codex":[0.9979843,0.00121272,0.00007485327,0.0001308045,0.0001663961,0.0004308868],"domain_scores_gemma":[0.9842679,0.007817128,0.003100948,0.000673048,0.0005282154,0.003612768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002900854,0.0004305691,0.9625888,0.00002518977,0.00005816171,0.0002448323,0.01012486,0.0001648515,0.0002721248,0.001771504,0.001044548,0.02298458],"study_design_scores_gemma":[0.00001365233,0.0001183848,0.971405,0.00006567064,0.00003312366,0.00009062635,0.02392966,0.0004472557,0.0001121121,0.001248927,0.002526255,0.000009168032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937103,0.0001217054,0.0001038013,0.0005229261,0.000009311068,0.00001151442,0.00004293744,0.000002856196,0.005474572],"genre_scores_gemma":[0.9992043,0.00006514042,0.00003830573,0.00005749055,0.00001014095,0.000005670175,0.00002941599,0.000003201209,0.0005862794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008389573,"threshold_uncertainty_score":0.02806586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059953874077224,"score_gpt":0.2846159109489904,"score_spread":0.2540163722082181,"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."}}