{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001673374,0.0001185239,0.0002625486,0.00005472203,0.0005108525,0.00008242925,0.0002039398,0.00009817897,0.00007747636],"category_scores_gemma":[0.002021424,0.0001111677,0.00003476711,0.00007169884,0.001282215,0.0001318335,0.0001580985,0.000249629,0.00002426082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868938,"about_ca_system_score_gemma":0.00007640095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265137,"about_ca_topic_score_gemma":0.01171329,"domain_scores_codex":[0.9980101,0.0004360805,0.000279123,0.0002743967,0.000287224,0.0007130817],"domain_scores_gemma":[0.9991089,0.0002777629,0.00006205509,0.0002770938,0.00003018841,0.0002440355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001353419,0.0001560203,0.7481391,0.00001411211,0.000007327361,0.00001882557,0.03537183,1.595104e-7,0.00000231479,0.2154709,0.00003635648,0.0007695351],"study_design_scores_gemma":[0.0004583508,0.00001597921,0.4158533,0.00003010165,0.000005873319,1.539296e-7,0.5694888,0.00002635024,0.000004652536,0.01282137,0.001169683,0.0001253804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5776657,0.0001381515,0.000009038362,0.006677695,0.0001522252,0.0002325751,0.00003413329,0.00003690467,0.4150536],"genre_scores_gemma":[0.9994028,0.0000317016,0.000104986,0.00002512329,0.0001944476,0.00002581833,0.000002471967,0.000008374052,0.0002043377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.534117,"threshold_uncertainty_score":0.6536289,"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."}}