{"id":"W2806360018","doi":"10.16997/wpcc.280","title":"Going Public and Going Global: Chinese Internet Companies and Global Finance Networks","year":2018,"lang":"en","type":"article","venue":"Westminster Papers in Communication and Culture","topic":"ICT Impact and Policies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"The Internet; Business; Finance; World Wide Web; Computer science","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":[0.00007498612,0.0001533422,0.0001498815,0.00001770527,0.0001026712,0.0001694782,0.0001573983,0.0001008803,0.000007018033],"category_scores_gemma":[0.00001487609,0.0001262109,0.00001441163,0.0001672979,0.0001969229,0.0001938894,0.0001458897,0.0001418359,0.00000281108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923934,"about_ca_system_score_gemma":0.00000446509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000320694,"about_ca_topic_score_gemma":0.001898153,"domain_scores_codex":[0.9995104,0.00003827936,0.0001450878,0.00007596842,0.00004961899,0.0001806083],"domain_scores_gemma":[0.999646,0.00002370683,0.00002918187,0.000226921,0.00001831543,0.00005587809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004045214,0.00004434918,0.8673721,0.0001533528,0.00008321896,0.000001539428,0.04469309,0.0003240621,0.0001978106,0.009842999,0.006975248,0.07027178],"study_design_scores_gemma":[0.001285612,0.0001283808,0.6859408,0.0004709137,0.00001970702,0.0001549811,0.003246651,0.06230215,0.00001267998,0.0007579335,0.2450541,0.0006261407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441307,0.01044457,0.0000656444,0.0004313014,0.00008842537,0.00008879964,0.000008445384,0.00009441403,0.04464767],"genre_scores_gemma":[0.9949327,0.003932485,0.0003839626,0.000494846,0.0000466753,0.000005494391,0.00001532411,0.000007854157,0.0001807173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2380788,"threshold_uncertainty_score":0.5146729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008843630855058371,"score_gpt":0.2457492483219351,"score_spread":0.2369056174668767,"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."}}