{"id":"W2073022430","doi":"10.1002/pa.273","title":"The determinants of corporate political strategy in Chinese transition","year":2007,"lang":"en","type":"article","venue":"Journal of Public Affairs","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Incentive; Politics; Government (linguistics); Institution; Transition (genetics); Empirical research; Economics; Marketing; Empirical evidence; Strategic management; Business; Industrial organization; Public economics; Microeconomics; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005118126,0.0001215951,0.0001179084,0.0007921068,0.0005401761,0.001121043,0.0001248638,0.0001925131,0.002671252],"category_scores_gemma":[0.002092225,0.0000664745,0.000121478,0.001032801,0.0007530721,0.0002960847,0.0004860763,0.0003050661,0.0001206851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118943,"about_ca_system_score_gemma":0.001047806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03465787,"about_ca_topic_score_gemma":0.03825872,"domain_scores_codex":[0.9996325,0.00007355736,0.00002214386,0.0000327501,0.00008196523,0.0001570903],"domain_scores_gemma":[0.9984565,0.0003469674,0.0006392957,0.00005151989,0.0001761348,0.0003296303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005446774,0.00007431181,0.9843271,0.00001543788,0.00001896514,0.0001803936,0.004241477,0.0002877342,0.0005999118,0.001781581,0.0002351964,0.008183441],"study_design_scores_gemma":[0.000003382177,0.00002580442,0.9954136,0.000004911516,0.000005664567,0.00002338405,0.003085548,0.0006195909,0.0001321559,0.000261262,0.0004218436,0.000002801593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987912,0.00001463046,0.00003024673,0.0000591904,6.907893e-7,0.000004504693,0.000009864643,8.338885e-7,0.001088894],"genre_scores_gemma":[0.9998609,0.000008149453,0.000006797509,0.00000430948,5.602321e-7,0.00000105189,0.000007733847,1.630485e-7,0.000110277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03465787,"threshold_uncertainty_score":0.06891227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524513009267745,"score_gpt":0.2836718181820564,"score_spread":0.2384266880893789,"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."}}