{"id":"W4298360337","doi":"10.3390/informatics9030061","title":"Evaluating and Revising the Digital Citizenship Scale","year":2022,"lang":"en","type":"article","venue":"Informatics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Scale (ratio); Nationality; Citizenship; Psychology; Population; Politics; The Internet; Social psychology; Public relations; Political science; Sociology; Immigration; Computer science; Geography; 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":[0.02930516,0.0004739245,0.0008519783,0.002716987,0.001233825,0.002936433,0.001095798,0.0007591289,0.001893043],"category_scores_gemma":[0.07710131,0.0003761929,0.001223946,0.002466058,0.001264937,0.003046194,0.002608729,0.002003761,0.0006849617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968162,"about_ca_system_score_gemma":0.004050477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144995,"about_ca_topic_score_gemma":0.01057195,"domain_scores_codex":[0.9833913,0.007569454,0.003219571,0.0009028442,0.004241077,0.0006756682],"domain_scores_gemma":[0.9330877,0.03877419,0.005081662,0.003845281,0.01682974,0.002381385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002118263,0.001189769,0.6691409,0.0004269067,0.0001815598,0.0002268469,0.01264383,0.001001572,0.001355423,0.004121417,0.006718062,0.3027818],"study_design_scores_gemma":[0.0001694362,0.00175268,0.912563,0.0005338974,0.0001824649,0.0002964479,0.02541118,0.006359764,0.002352763,0.005651407,0.04455729,0.0001697241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736663,0.0003759132,0.008312802,0.001250104,0.0003170809,0.002618788,0.0008934168,0.0001059439,0.0124597],"genre_scores_gemma":[0.9569501,0.0006739174,0.03354627,0.0004374337,0.0001078382,0.004393056,0.001781927,0.00007075553,0.002038757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02930516,"threshold_uncertainty_score":0.1549823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08177362222257559,"score_gpt":0.3811626317987536,"score_spread":0.2993890095761781,"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."}}