{"id":"W2617538539","doi":"10.5509/2017902253","title":"Participatory Inequality in Online and Offline Political Engagement in Thailand","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citizen journalism; Inequality; Online and offline; Politics; Political science; Sociology; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001363884,0.0001750325,0.0002367817,0.00164303,0.005135215,0.006833993,0.0005795893,0.0006845894,0.0136763],"category_scores_gemma":[0.004407737,0.0002199261,0.0001667367,0.003794883,0.003878605,0.004889188,0.005781183,0.001753648,0.0006343258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591004,"about_ca_system_score_gemma":0.002389395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03074794,"about_ca_topic_score_gemma":0.05311106,"domain_scores_codex":[0.9981222,0.0008080799,0.00007427365,0.0001466455,0.0001842721,0.0006645081],"domain_scores_gemma":[0.9947931,0.002712935,0.0009912099,0.0001818763,0.0003192933,0.001001603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003744019,0.0005142778,0.3962906,0.0001376354,0.00003163276,0.0009742155,0.5270632,0.0004298055,0.0006423913,0.03935406,0.001515146,0.03267268],"study_design_scores_gemma":[0.000009643075,0.00007655144,0.2568598,0.0001230298,0.00001477858,0.0001805438,0.7299417,0.000920028,0.0002403533,0.004957594,0.006656447,0.00001941578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811208,0.00009245492,0.0001421881,0.0003298618,0.000005905712,0.00001060572,0.00006435806,0.000002289986,0.01823164],"genre_scores_gemma":[0.9983184,0.00004158134,0.0000207369,0.00002070862,0.00000434097,0.00001091801,0.00002178498,0.000002181151,0.00155951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03074794,"threshold_uncertainty_score":0.06113797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117843059019346,"score_gpt":0.3859868594035348,"score_spread":0.2742025535016002,"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."}}