{"id":"W1956354831","doi":"10.3386/w14650","title":"Vertical Integration, Institutional Determinants and Impact: Evidence from China","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Chinese University of Hong Kong; Rensselaer Polytechnic Institute","keywords":"China; Economic geography; Business; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001011459,0.0003742542,0.0003102343,0.002181732,0.0007940555,0.0009526922,0.0004389788,0.0002113751,0.002722675],"category_scores_gemma":[0.002054145,0.000226402,0.0005026569,0.004085733,0.0009185528,0.0004911871,0.001109181,0.0003125455,0.0001940943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000316,"about_ca_system_score_gemma":0.002702209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2254361,"about_ca_topic_score_gemma":0.3096576,"domain_scores_codex":[0.999393,0.00009025533,0.00005126435,0.00009644267,0.0001551341,0.0002139894],"domain_scores_gemma":[0.995636,0.0004895971,0.002033024,0.0002633656,0.0007250865,0.0008529263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004489204,0.00003881619,0.9940606,0.00002671464,0.00007922862,0.00008823667,0.0002966556,0.00015769,0.0001209803,0.0003742436,0.0002823619,0.004429608],"study_design_scores_gemma":[0.000008427956,0.0000246701,0.9987115,0.00001215724,0.00004008379,0.00001973359,0.0002749217,0.0003358519,0.00007600251,0.00006442123,0.0004289611,0.000003269427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976338,0.0003925416,0.00006590316,0.0001464143,0.000003104969,0.000009033429,0.0004237491,0.000003027541,0.001322471],"genre_scores_gemma":[0.9988293,0.0002409761,0.00004629791,0.00002187369,0.000004352723,0.000003732692,0.000488483,0.000001312094,0.0003635802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2254361,"threshold_uncertainty_score":0.4482478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2763514228077357,"score_gpt":0.4663733289560018,"score_spread":0.1900219061482661,"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."}}