{"id":"W2765328770","doi":"10.5637/jpasurban.2016.74","title":"Confronting Gentrification in Low-Income Neighborhoods:","year":2016,"lang":"en","type":"article","venue":"The Annals of Japan Association for Urban Sociology","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Downtown; Economic rent; Eviction; Middle class; Affordable housing; Economic growth; Political science; Sociology; Geography; Economics; Market economy; Law","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":[0.001437265,0.0003492975,0.0002819362,0.0005621057,0.02365073,0.007686869,0.001097284,0.003370679,0.002436975],"category_scores_gemma":[0.001465011,0.0001783594,0.0001933885,0.0006067407,0.01269143,0.001788669,0.008427593,0.004568169,0.0002081254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009464769,"about_ca_system_score_gemma":0.01175233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2544201,"about_ca_topic_score_gemma":0.6568175,"domain_scores_codex":[0.9984578,0.0005752794,0.00001869005,0.00008914679,0.0001510012,0.0007080212],"domain_scores_gemma":[0.9986579,0.0001738229,0.00008149858,0.00003823997,0.0001582437,0.0008901861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006638304,0.0001742813,0.0341902,0.000320219,0.00003635947,0.006231541,0.6640078,0.000174905,0.001553721,0.1334777,0.05582274,0.1039441],"study_design_scores_gemma":[0.00001272123,0.00005321969,0.02261093,0.0003435807,0.00002443116,0.0008642311,0.6867387,0.0001568885,0.0004294528,0.009388637,0.2793326,0.00004445192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6938729,0.01131659,0.001048638,0.1243744,0.001453561,0.00004378071,0.00001638937,0.00003571077,0.1678379],"genre_scores_gemma":[0.9710045,0.003094738,0.0002822149,0.00792708,0.00016858,0.00001422797,0.00001275203,0.00001877139,0.01747715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2544201,"threshold_uncertainty_score":0.5058783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746647792698539,"score_gpt":0.2745626440876315,"score_spread":0.2170961661606461,"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."}}