{"id":"W2078285316","doi":"10.1007/s10551-007-9373-9","title":"Just Doing Business or Doing Just Business: Google, Microsoft, Yahoo! and the Business of Censoring China’s Internet","year":2007,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Business ethics; China; Censoring (clinical trials); The Internet; Business; Online business; Government (linguistics); Order (exchange); Criticism; Public relations; Law and economics; Law; Economics; Political science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974903,0.0002006805,0.0002535586,0.001225278,0.004800349,0.008277686,0.0005977491,0.003812753,0.00377586],"category_scores_gemma":[0.00318672,0.0001638077,0.0002036272,0.001728951,0.01814948,0.005151054,0.001867455,0.002961066,0.0001464486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007195497,"about_ca_system_score_gemma":0.01142118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09715826,"about_ca_topic_score_gemma":0.1542381,"domain_scores_codex":[0.9988247,0.0004488955,0.00003561153,0.0001133313,0.0002099253,0.0003675887],"domain_scores_gemma":[0.9970328,0.001488847,0.0004952481,0.0001466261,0.0003098382,0.0005265733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007566419,0.0000482195,0.01753679,0.00005764391,0.00001824836,0.0004091187,0.02314791,0.0003493339,0.0003123487,0.940407,0.008662022,0.008975822],"study_design_scores_gemma":[0.0001580176,0.0001484206,0.1396163,0.0006059377,0.0001601275,0.0003902357,0.1281556,0.005678873,0.001938071,0.5034438,0.2194737,0.0002309231],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440416,0.004576289,0.0007164489,0.1216425,0.0001717728,0.00002955415,0.00008757357,0.00001445663,0.1287198],"genre_scores_gemma":[0.9926869,0.0005907977,0.00006594694,0.002016903,0.00006024694,0.000007631947,0.000006584875,0.000003844617,0.004561198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09715826,"threshold_uncertainty_score":0.1931854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05414126413447467,"score_gpt":0.3268314396048881,"score_spread":0.2726901754704135,"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."}}