{"id":"W7096778953","doi":"","title":"A Comparison of Adults Who Grew Up in Different Public Housing Projects","year":2002,"lang":"en","type":"article","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public housing; Corporation; Watson; Metropolitan area; Subsidy; Subsidized housing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006072636,0.0002319158,0.0004591941,0.001831334,0.001184,0.0009407967,0.0003673851,0.0008563942,0.003674904],"category_scores_gemma":[0.002427548,0.0003365212,0.0006629321,0.001558655,0.0004186823,0.001528994,0.001286068,0.0008354608,0.0007544556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007164126,"about_ca_system_score_gemma":0.0003833205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04121605,"about_ca_topic_score_gemma":0.07262153,"domain_scores_codex":[0.9992964,0.0001340526,0.00009641331,0.000113368,0.0001416127,0.0002181498],"domain_scores_gemma":[0.9986228,0.0002086782,0.0002839858,0.00005107357,0.0002946318,0.0005388499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004095687,0.0002434866,0.9874351,0.00002404493,0.00006160451,0.0003061725,0.00457168,0.00002945582,0.0002976857,0.0001050528,0.0004981621,0.006017952],"study_design_scores_gemma":[0.000009557907,0.0002645786,0.9908677,0.00001059929,0.00001430175,0.0001709348,0.00811378,0.00005006844,0.00002658395,0.00003443695,0.0004298466,0.000007524889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980838,0.0001584179,0.00002787366,0.00007093988,0.00001148421,0.00002356867,0.0003843193,0.000002451227,0.001237199],"genre_scores_gemma":[0.9978743,0.0002488617,0.00004653423,0.00007021303,0.00001248738,0.00003743816,0.0005987319,0.000003359331,0.001108216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04121605,"threshold_uncertainty_score":0.08195227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1682695348609537,"score_gpt":0.3568178807799952,"score_spread":0.1885483459190415,"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."}}