{"id":"W4220975675","doi":"10.24148/cdwp2022-01","title":"Housing Market Interventions and Residential Mobility in the San Francisco Bay Area","year":2022,"lang":"en","type":"article","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Chan Zuckerberg Initiative; Silicon Valley Community Foundation","keywords":"Eviction; Subsidized housing; Subsidy; Bespoke; Affordable housing; Renting; Demographic economics; Psychological intervention; Business; Economics; Economic growth; Political science; Law; Market economy; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00177567,0.00005153336,0.00008945263,0.00005521883,0.001357013,0.00008499165,0.0001570102,0.00001771563,0.004001162],"category_scores_gemma":[0.0001997308,0.00003930707,0.00005517641,0.0003055561,0.0001878622,0.0001212145,0.0001128455,0.0001236586,0.000001738432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005421333,"about_ca_system_score_gemma":0.00004031292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005451184,"about_ca_topic_score_gemma":0.08033872,"domain_scores_codex":[0.9986207,0.0005976852,0.0001706988,0.0001510302,0.0003102264,0.000149661],"domain_scores_gemma":[0.9994804,0.0003192851,0.00004154094,0.0001089965,0.00002590053,0.00002387772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005905558,0.0004813919,0.7058542,0.00003144365,0.00005371973,0.00001430265,0.1584552,0.00003121119,0.00001629506,0.02205857,0.1066175,0.006327061],"study_design_scores_gemma":[0.0004429079,0.00006594141,0.6913895,0.00001704652,0.00002829424,0.000001493311,0.2431459,0.0002557457,0.000003889582,0.009298611,0.05517573,0.0001749544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051212,0.0008429656,0.0007833081,0.004625606,0.000371046,0.0004230783,0.00001654786,0.00005684884,0.1877594],"genre_scores_gemma":[0.9960666,0.00004061745,0.00005070506,0.0002453956,0.00005600297,0.00005101923,0.00000145486,0.00000273474,0.003485467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1909454,"threshold_uncertainty_score":0.9999431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05519479264992513,"score_gpt":0.3267788125815756,"score_spread":0.2715840199316505,"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."}}