{"id":"W4214775395","doi":"10.1177/08944393211071067","title":"Participatory Inequality Across Countries: Contacting Public Officials Online and Offline","year":2022,"lang":"en","type":"article","venue":"Social Science Computer Review","topic":"Social Media and Politics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Online and offline; Citizen journalism; Inequality; Politics; Equity (law); The Internet; Government (linguistics); Online participation; Survey data collection; Public relations; Business; Political science; Law; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004082165,0.0001829956,0.0004544283,0.002645601,0.001641413,0.003396943,0.0004393336,0.0005377536,0.005293562],"category_scores_gemma":[0.0174637,0.000158815,0.000430585,0.004742642,0.002147683,0.004359759,0.003604155,0.000980365,0.0002607318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125724,"about_ca_system_score_gemma":0.001228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027212,"about_ca_topic_score_gemma":0.02821921,"domain_scores_codex":[0.9952566,0.002527138,0.0003111534,0.0004416354,0.0005534654,0.0009098773],"domain_scores_gemma":[0.9875506,0.006849208,0.002968777,0.0006956556,0.001220271,0.000715532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002808435,0.0002088599,0.7041851,0.001036628,0.0004515904,0.0004185015,0.05194343,0.0005859124,0.0002929748,0.0513766,0.005046636,0.184173],"study_design_scores_gemma":[0.00003853358,0.0002118006,0.8597683,0.001996642,0.0003281109,0.0003290561,0.08580338,0.0009982797,0.000314213,0.01351209,0.03665946,0.00004013249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023309,0.01446392,0.00200255,0.0080329,0.0001833991,0.00006479021,0.0009484963,0.00001082193,0.07196214],"genre_scores_gemma":[0.9964254,0.002296499,0.0001622477,0.0002988317,0.00007243743,0.00002713807,0.000164044,0.000004010484,0.000549197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02027212,"threshold_uncertainty_score":0.0403083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2186905875361178,"score_gpt":0.4749153655835866,"score_spread":0.2562247780474688,"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."}}