{"id":"W2907709323","doi":"10.3386/w25906","title":"Affordable Housing and City Welfare","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affordable housing; Welfare; Business; Economics; Economic growth; Market economy","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":[0.0006807197,0.000252364,0.0002450616,0.0006112564,0.0006896023,0.002184048,0.0002726988,0.0009585191,0.02151184],"category_scores_gemma":[0.002277594,0.0001426186,0.0003033353,0.00133618,0.0009001144,0.001283449,0.001973082,0.00108843,0.0007859558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004615426,"about_ca_system_score_gemma":0.003191394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04813046,"about_ca_topic_score_gemma":0.07454676,"domain_scores_codex":[0.9995579,0.0001536228,0.00001023297,0.00003967194,0.00008024697,0.0001583716],"domain_scores_gemma":[0.9994699,0.0001224277,0.000142775,0.00003232418,0.0001195864,0.0001130265],"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":[0.00004280267,0.0002226283,0.02940878,0.000155713,0.00007793938,0.0001048777,0.0005049949,0.01312285,0.0001403008,0.8199588,0.07443251,0.06182779],"study_design_scores_gemma":[0.0001190034,0.0002124431,0.1325667,0.0008310869,0.00009562445,0.0001138495,0.002632113,0.03138154,0.0004229028,0.4664233,0.3651389,0.00006251594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3298028,0.01814094,0.01275028,0.1346388,0.0005728004,0.0002380716,0.006884738,0.0001469128,0.4968248],"genre_scores_gemma":[0.9477509,0.007444414,0.001630586,0.001667566,0.0002224927,0.0001354766,0.001299559,0.00002474358,0.03982421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04813046,"threshold_uncertainty_score":0.09570062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3857922597732565,"score_gpt":0.4471336825934373,"score_spread":0.06134142282018079,"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."}}