{"id":"W3124403794","doi":"","title":"Developers, Herding, and Overbuilding","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Herding; Reputation; Real estate; Copying; Order (exchange); Economics; Business; Marketing; Microeconomics; Finance; Sociology; Political 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":[0.001538811,0.0001786431,0.0003141895,0.0007165761,0.001270458,0.001822144,0.0005145589,0.001134246,0.005551743],"category_scores_gemma":[0.006518255,0.0001902208,0.0001698684,0.00076705,0.004870363,0.00206543,0.001441259,0.0008200547,0.0002208827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029437,"about_ca_system_score_gemma":0.0005386983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140171,"about_ca_topic_score_gemma":0.01452811,"domain_scores_codex":[0.9993525,0.0002988171,0.00002263404,0.0001153237,0.00006654608,0.0001441285],"domain_scores_gemma":[0.9956638,0.00203806,0.001310912,0.0003846558,0.000218872,0.0003836538],"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":[0.0001719364,0.0002384347,0.2061311,0.0002091178,0.0001452014,0.002628334,0.01548949,0.02114067,0.001067915,0.6122531,0.01307303,0.1274517],"study_design_scores_gemma":[0.00006719972,0.0001946737,0.1700856,0.0002342954,0.0001107604,0.002087096,0.02275324,0.03500099,0.0005224003,0.7115138,0.05732566,0.0001044172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888631,0.004306689,0.01329488,0.01033635,0.0001022012,0.0000297892,0.00007559613,0.00004825204,0.08317526],"genre_scores_gemma":[0.9951437,0.0007031798,0.0005793051,0.0001514163,0.00002745145,0.000004684053,0.000008855299,0.000004126592,0.003377417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0140171,"threshold_uncertainty_score":0.02787101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610793585793031,"score_gpt":0.1924090446099996,"score_spread":0.1663011087520693,"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."}}