{"id":"W2021746782","doi":"10.5539/ass.v10n6p40","title":"Transaction Costs, Firms’ Growth and Oligopoly: Case Studies in Hong Kong Real Estate Agencies’ Branch Locations","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oligopoly; Transaction cost; Real estate; Business; Database transaction; Industrial organization; Real estate development; Finance; Microeconomics; Economics; Cournot competition; Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006404902,0.00007792757,0.0001971773,0.0002390459,0.0005285831,0.00007351798,0.0001107708,0.00003218592,0.0000431095],"category_scores_gemma":[0.00007857975,0.00009076347,0.00004233803,0.0009355779,0.0004357834,0.0003438614,0.00001931079,0.00007720322,0.00002728234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480352,"about_ca_system_score_gemma":0.00002579672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015931,"about_ca_topic_score_gemma":0.001276255,"domain_scores_codex":[0.9991349,0.00002377898,0.000268889,0.0003012575,0.00005465962,0.0002165158],"domain_scores_gemma":[0.9996718,0.00002890696,0.000100874,0.00009323272,0.00003623666,0.00006899294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008726405,0.00009986766,0.04635668,0.0000659141,0.00005434267,0.00005139079,0.0406616,0.000009802812,0.0003611615,0.6734197,0.0001478168,0.238763],"study_design_scores_gemma":[0.002010726,0.0001854761,0.8184877,0.00006820777,0.00007229116,0.0002226889,0.06499738,0.008992212,0.001027565,0.09895819,0.003333162,0.001644427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6425879,0.0001141804,0.00503036,0.001159979,0.0002711522,0.0001004968,0.00001886185,0.00003062047,0.3506864],"genre_scores_gemma":[0.9987764,0.0008524304,0.0001045423,0.00008952936,0.00005778262,0.000010607,0.000001631242,0.000004692579,0.0001023257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.772131,"threshold_uncertainty_score":0.4065487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231196856430707,"score_gpt":0.2748602063068611,"score_spread":0.242548237742554,"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."}}