{"id":"W4402641040","doi":"10.1287/msom.2024.0746","title":"The Impact of the Opportunity Zone Program on Residential Real Estate","year":2024,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Business; Real estate; Finance; Residential real estate; Operations management; Economics","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":[0.003883124,0.0004204848,0.0006139328,0.000353625,0.0005805325,0.001141463,0.001019255,0.0007835411,0.005118163],"category_scores_gemma":[0.01793538,0.0002254393,0.0003689799,0.0006258201,0.001121191,0.001378126,0.001393244,0.00121379,0.0001787598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618614,"about_ca_system_score_gemma":0.001788475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007040119,"about_ca_topic_score_gemma":0.007110015,"domain_scores_codex":[0.997299,0.001717096,0.00005783152,0.0003483475,0.000227146,0.0003506224],"domain_scores_gemma":[0.9917685,0.006093735,0.001059142,0.0003550064,0.000284362,0.0004393336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009568155,0.00114072,0.1021823,0.0003177742,0.000152167,0.0003567502,0.000338548,0.7121264,0.001697871,0.0721335,0.007622977,0.1009741],"study_design_scores_gemma":[0.0001614765,0.0007865103,0.02861496,0.00006397988,0.000092277,0.0001761256,0.0008776759,0.9261734,0.001959452,0.03666763,0.00438844,0.00003804822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613272,0.00067675,0.1217288,0.002877427,0.0001074853,0.0004972211,0.0006293886,0.0001215585,0.0120342],"genre_scores_gemma":[0.9857465,0.0001062897,0.01236376,0.0001824561,0.00002123954,0.0001002898,0.0001143358,0.00001558707,0.001349627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007040119,"threshold_uncertainty_score":0.02053618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159846606456413,"score_gpt":0.2789468873088154,"score_spread":0.2629622266631741,"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."}}