{"id":"W1986058442","doi":"10.7790/ajtde.v2n1.27","title":"Building a digital society: Questions for communication researchers","year":2014,"lang":"en","type":"article","venue":"Journal of Telecommunications and the Digital Economy","topic":"Social Media and Politics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Canberra","keywords":"Variety (cybernetics); Digital society; Value (mathematics); Engineering ethics; Sociology; Data science; Public relations; Computer science; Political science; Internet privacy; Engineering","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":[0.02247851,0.0007297617,0.001125825,0.003553093,0.01811575,0.02821578,0.003064431,0.02106141,0.0110013],"category_scores_gemma":[0.03562507,0.0005449828,0.0006298189,0.004708247,0.06753258,0.06190204,0.01545844,0.01511264,0.002199569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007332823,"about_ca_system_score_gemma":0.009807279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004662566,"about_ca_topic_score_gemma":0.002733456,"domain_scores_codex":[0.9828144,0.01293571,0.0003320888,0.0008544833,0.001554566,0.001508804],"domain_scores_gemma":[0.9425775,0.04629952,0.001457821,0.001948824,0.003009405,0.004706879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001340961,0.00004187738,0.0004057825,0.0001457732,0.000004183225,0.00009864211,0.02343516,0.0001598251,0.00005579076,0.943241,0.02029682,0.01210186],"study_design_scores_gemma":[0.00001655369,0.00002573778,0.0002325495,0.0003895295,0.000004447177,0.0001889162,0.1006645,0.0002738585,0.00007307349,0.7553626,0.1427363,0.00003193352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006665259,0.01442665,0.003849671,0.9328199,0.001404953,0.00002378621,0.00003677807,0.00004295873,0.04073002],"genre_scores_gemma":[0.7137085,0.06592033,0.01116724,0.1766622,0.01451971,0.0004254002,0.0001083197,0.0002115868,0.01727679],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02821578,"threshold_uncertainty_score":0.1188791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467321400238386,"score_gpt":0.35840927378022,"score_spread":0.3116771337563815,"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."}}