{"id":"W4382762595","doi":"10.1080/19331681.2023.2211974","title":"Civic and political volunteering: the mobilizing role of websites and social media in four countries","year":2023,"lang":"en","type":"article","venue":"Journal of Information Technology & Politics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Norges Forskningsråd","keywords":"Social media; Civic engagement; Politics; Political science; Survey data collection; Public relations; Political communication; Digital media; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005423982,0.00006773299,0.0002029807,0.0005084915,0.0002230762,0.00004014645,0.0001645554,0.000217101,0.000006420218],"category_scores_gemma":[0.001740996,0.00005556518,0.00003273943,0.0003198955,0.001098382,0.0003641045,0.0000591551,0.0002720534,0.000005064751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000920572,"about_ca_system_score_gemma":0.0002657741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001246404,"about_ca_topic_score_gemma":0.0001500835,"domain_scores_codex":[0.9988101,0.00005361692,0.0004701895,0.00003270063,0.0002780912,0.0003553324],"domain_scores_gemma":[0.998664,0.0007265343,0.0002506494,0.00004940618,0.0002428261,0.00006658245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000003294518,0.000004734569,0.07391934,0.00002670688,0.00001229146,0.000001639595,0.05671102,8.459635e-7,0.00002759723,0.8682868,0.0001420429,0.000863639],"study_design_scores_gemma":[0.0004745076,0.00007089283,0.0297897,0.00006012578,0.00003822368,0.00003558372,0.6537247,0.0001207744,0.0008554456,0.2632877,0.05142425,0.0001180885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869894,0.000149577,0.00001481356,0.01160446,0.0001843194,0.00007203809,0.00001217027,0.00003217102,0.0009410595],"genre_scores_gemma":[0.9991882,0.0002457676,0.0001162882,0.0002415997,0.0001910656,0.000002459648,9.323332e-7,0.000003714097,0.000009969578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6049991,"threshold_uncertainty_score":0.4047034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336938173684425,"score_gpt":0.2837516495677327,"score_spread":0.2703822678308885,"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."}}