{"id":"W3134725702","doi":"10.2139/ssrn.3780241","title":"The Impact of the Opportunity Zone Program on the Residential Real Estate Market","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Real estate; Residential real estate; Business; Real estate development; Finance","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":[0.001118057,0.0001900431,0.0003802358,0.0006292106,0.0008170954,0.003092814,0.0007475911,0.001326755,0.01967224],"category_scores_gemma":[0.006364451,0.0001410455,0.0005235843,0.0008449286,0.001153128,0.001793546,0.001513121,0.001327484,0.0007328273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759703,"about_ca_system_score_gemma":0.001900067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374862,"about_ca_topic_score_gemma":0.04869715,"domain_scores_codex":[0.9989477,0.0003870585,0.00002712702,0.00006955896,0.0001652009,0.0004034218],"domain_scores_gemma":[0.9949394,0.002013849,0.001034236,0.0001392037,0.0003952999,0.001477959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01232219,0.009869071,0.6721252,0.0002683005,0.0005149918,0.002005289,0.00188994,0.02308514,0.00413376,0.1454988,0.0152612,0.1130261],"study_design_scores_gemma":[0.0003674758,0.0014939,0.9521556,0.00004519446,0.0003266005,0.0001693155,0.00505255,0.01258601,0.001554083,0.01394434,0.01225215,0.00005269938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749646,0.000411713,0.0001959013,0.001760426,0.00004029614,0.00002216779,0.0003301757,0.00001592598,0.02225878],"genre_scores_gemma":[0.9967877,0.00009566376,0.00003058566,0.00006670011,0.00003179168,0.000004750479,0.00007043404,0.000004183824,0.002908142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374862,"threshold_uncertainty_score":0.0658102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138418469184019,"score_gpt":0.2475797329235097,"score_spread":0.2261955482316695,"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."}}