{"id":"W4380244259","doi":"10.2139/ssrn.4475943","title":"Public Education and Intergenerational Housing Wealth Effects","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Public housing; Labour economics; Public economics; Economic growth","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":[0.0008455406,0.0002224009,0.0002899114,0.0008994293,0.0006959888,0.001372356,0.0003634248,0.0007494268,0.02107827],"category_scores_gemma":[0.003540589,0.0001834656,0.0005057665,0.001337443,0.0007629174,0.001600154,0.001820802,0.0008923379,0.0007306614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008601094,"about_ca_system_score_gemma":0.0004675956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02936591,"about_ca_topic_score_gemma":0.05150115,"domain_scores_codex":[0.9995272,0.0001682346,0.0000163966,0.00004532837,0.00003658519,0.0002061627],"domain_scores_gemma":[0.9969605,0.001449918,0.000658827,0.0001766038,0.0001534697,0.0006007897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000744756,0.0009106806,0.9591935,0.00005383461,0.0002797908,0.0004239173,0.001283375,0.001962833,0.0002388055,0.01424454,0.001335643,0.0193283],"study_design_scores_gemma":[0.0000249058,0.0001617177,0.9907227,0.00004270621,0.0001581472,0.00006712827,0.002564591,0.0008734878,0.00017545,0.003209451,0.001991167,0.000008480416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881065,0.001190146,0.000216159,0.001248579,0.00003114265,0.000005547694,0.0005822934,0.000009513536,0.008610066],"genre_scores_gemma":[0.9976514,0.0002541687,0.00002057588,0.00003070157,0.00001156748,0.000002438403,0.00009758463,0.000001799568,0.00192977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02936591,"threshold_uncertainty_score":0.07051378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663113907766254,"score_gpt":0.3514140526545958,"score_spread":0.3047829135769333,"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."}}