{"id":"W2125381863","doi":"10.2307/3556680","title":"Why Firms Want to Organize Efficiently and what Keeps Them from Doing So: Inappropriate Governance, Performance, and Adaptation in a Deregulated Industry","year":2003,"lang":"en","type":"article","venue":"Administrative Science Quarterly","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":281,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Corporate governance; Industrial organization; Transaction cost; Business; Adaptation (eye); Deregulation; Process (computing); Database transaction; Microeconomics; Economics; Market economy; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002192694,0.0001118797,0.0002225666,0.000589855,0.0008208401,0.002846681,0.0003696217,0.0007464692,0.0009805131],"category_scores_gemma":[0.008672636,0.0001326049,0.0001610301,0.0007572525,0.003432247,0.002470071,0.001500171,0.0006089488,0.0001541588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861252,"about_ca_system_score_gemma":0.0007786924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467625,"about_ca_topic_score_gemma":0.005065023,"domain_scores_codex":[0.9984018,0.0007101052,0.00006878051,0.0001731145,0.000212637,0.0004334527],"domain_scores_gemma":[0.9941302,0.001131106,0.002496308,0.0008928244,0.0005799591,0.0007695937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004092503,0.000561388,0.7738192,0.00005396582,0.00009810811,0.0008983986,0.01322444,0.03404948,0.006351276,0.09831054,0.001538467,0.07068549],"study_design_scores_gemma":[0.00007179642,0.0002892491,0.8119209,0.0000378909,0.00003355267,0.0002576364,0.02025478,0.03303604,0.001962831,0.1263803,0.005694713,0.00006025937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946446,0.00005105928,0.001229459,0.0007769341,0.000002773318,0.000008791206,0.000008522176,0.000006178736,0.003271703],"genre_scores_gemma":[0.9996744,0.00002042557,0.0001211661,0.00003147406,0.000002311614,0.000002447863,0.000005209274,0.000001255014,0.0001413017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004467625,"threshold_uncertainty_score":0.01350445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152260236905314,"score_gpt":0.2229837759016413,"score_spread":0.2014611735325881,"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."}}