{"id":"W2102741054","doi":"10.1002/cjas.136","title":"The impact of e‐information on residential real estate services: transaction costs, social embeddedness, and market conditions","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"","keywords":"Disintermediation; Real estate; Embeddedness; Business; Database transaction; Transaction cost; Value (mathematics); Cost approach; Industrial organization; Marketing; Real estate development; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001256453,0.000147308,0.0002503844,0.001201577,0.0009560525,0.003649812,0.0004503677,0.0005914019,0.01311553],"category_scores_gemma":[0.0151193,0.0001297997,0.0002454837,0.001759541,0.001879854,0.002545883,0.001916235,0.0007472214,0.0004188344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505724,"about_ca_system_score_gemma":0.001004257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276024,"about_ca_topic_score_gemma":0.02219995,"domain_scores_codex":[0.9977973,0.0009173584,0.0001291891,0.0001081814,0.0007216618,0.0003264358],"domain_scores_gemma":[0.9721282,0.01502628,0.007377861,0.0008277482,0.002348511,0.002291363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007775484,0.001264457,0.8918719,0.0001878326,0.0001850382,0.001293826,0.003793062,0.008279287,0.001321869,0.02595758,0.001803961,0.06326368],"study_design_scores_gemma":[0.00003098194,0.0002392372,0.9568264,0.00006993364,0.0000992529,0.0004100239,0.01446142,0.01051953,0.0007390731,0.01163347,0.004921939,0.00004884427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838862,0.0002094803,0.000170775,0.0005201357,0.000004818141,0.000009847773,0.00008850141,0.000002865223,0.01510732],"genre_scores_gemma":[0.9996341,0.00004728015,0.00003873406,0.000008596284,0.000005193068,0.000001985453,0.00001751011,9.584686e-7,0.0002454555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311553,"threshold_uncertainty_score":0.04387581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964727288515489,"score_gpt":0.2983483494557763,"score_spread":0.2587010765706214,"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."}}