{"id":"W7164923783","doi":"10.1080/17153379.2025.12558656","title":"Codes of Modernity: Chinese Scripts in the Global Information Age","year":2025,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scripting language; Information Age; Age groups; Information system","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":[0.001435654,0.0003563511,0.0001820843,0.001571757,0.00463937,0.004894578,0.0003858641,0.0005158468,0.004789697],"category_scores_gemma":[0.003927298,0.0001297737,0.0001193717,0.002857022,0.01274166,0.004124262,0.002053234,0.001674777,0.0002787625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004409651,"about_ca_system_score_gemma":0.004306003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03607839,"about_ca_topic_score_gemma":0.03415763,"domain_scores_codex":[0.998908,0.0004760451,0.0000588186,0.0001182909,0.0002013394,0.0002374557],"domain_scores_gemma":[0.9983267,0.0006974439,0.0001957512,0.0002330397,0.0002579084,0.0002891366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004816434,0.00001711171,0.007415359,0.00005904832,0.000005911951,0.0004211492,0.3831868,0.0001517323,0.0004246868,0.5828732,0.004063496,0.02133329],"study_design_scores_gemma":[0.00004329658,0.0001246891,0.08520056,0.0003271025,0.00005271679,0.0007923794,0.3817607,0.003000121,0.001922236,0.2599159,0.266734,0.000126347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6010102,0.0009461291,0.002671332,0.00723687,0.0001601035,0.00007110288,0.0002267652,0.00006891114,0.3876086],"genre_scores_gemma":[0.9932034,0.0001810246,0.0003076945,0.0001171062,0.00002555812,0.00001490381,0.00003409379,0.0000168867,0.006099169],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03607839,"threshold_uncertainty_score":0.07173681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852541880090055,"score_gpt":0.3217223415942169,"score_spread":0.3031969227933163,"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."}}