{"id":"W3037741034","doi":"10.1080/24701475.2020.1769894","title":"Tracing Weibo (2009–2019): The commercial dissolution of public communication and changing politics","year":2020,"lang":"en","type":"article","venue":"Internet Histories","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; York University","funders":"","keywords":"Commodification; Writ; Politics; Entertainment; Advertising; Social media; Tracing; The Internet; Public space; Grassroots; Sociology; Media studies; Internet privacy; Political science; World Wide Web; Computer science; Business; Engineering; Law; Architectural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003514475,0.00005398846,0.0001055502,0.00001626338,0.00032827,0.00005076865,0.0002291361,0.00004197455,0.00002832004],"category_scores_gemma":[0.0002382701,0.00004280015,0.00003459243,0.00007553532,0.0005140709,0.0002483246,0.00007621262,0.0001002957,0.000003070531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266014,"about_ca_system_score_gemma":0.00005786131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008652438,"about_ca_topic_score_gemma":0.003080439,"domain_scores_codex":[0.9994289,0.00007465317,0.0001547978,0.00008132068,0.0001035409,0.0001568484],"domain_scores_gemma":[0.999545,0.0001004374,0.0001520377,0.0001050197,0.00004402613,0.00005350846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007128487,0.00001539438,0.007970749,0.00001774047,0.00001631445,2.214473e-7,0.4945357,0.000001423668,0.00001735337,0.4772907,0.005355224,0.01477208],"study_design_scores_gemma":[0.000203719,0.00005785585,0.01449946,0.00003376193,0.00001617547,7.379426e-7,0.02373861,0.0003308104,0.00008956468,0.003722325,0.9571583,0.0001486832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466339,0.002955949,0.0008773744,0.0338701,0.0004202664,0.0001356269,0.00002392521,0.00003882576,0.01504402],"genre_scores_gemma":[0.9978064,0.0001788284,0.00005272976,0.000302886,0.0001908889,0.000003241742,0.000004235784,0.000004918348,0.001455882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9518031,"threshold_uncertainty_score":0.997949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292343730718744,"score_gpt":0.2721463337868827,"score_spread":0.2392228964796953,"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."}}