{"id":"W2953984962","doi":"10.1111/cico.12412","title":"Buffalo's West Side Story: Migration, Gentrification, and Neighborhood Change","year":2019,"lang":"en","type":"article","venue":"City and Community","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University at Buffalo; York University","keywords":"Gentrification; Census; Socioeconomic status; Census tract; Newspaper; American Community Survey; Geography; White (mutation); Sociology; Demographic economics; Regional science; Demography; Economic growth; Media studies; Population; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006656109,0.0001341494,0.0002168728,0.0007349647,0.003614891,0.001742289,0.0004440998,0.0004410359,0.002709233],"category_scores_gemma":[0.001617708,0.0001528415,0.0001043371,0.001096798,0.001545634,0.001347796,0.001861433,0.0007240494,0.0001053699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061178,"about_ca_system_score_gemma":0.00162362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2247815,"about_ca_topic_score_gemma":0.5907727,"domain_scores_codex":[0.9995832,0.0002458736,0.00001202652,0.00005242745,0.0000543426,0.00005219119],"domain_scores_gemma":[0.9991972,0.000308589,0.0001713787,0.00005063998,0.0001157054,0.0001564842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009360769,0.0002189414,0.7179973,0.000150586,0.00008867206,0.00103105,0.1848894,0.0003098982,0.0008944435,0.007680989,0.03034885,0.05629626],"study_design_scores_gemma":[0.000004488344,0.0001234477,0.7066449,0.0001447766,0.00004634263,0.0002341284,0.2602122,0.0005183799,0.0004140929,0.0007417395,0.03089171,0.00002374026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895301,0.001137623,0.0002376259,0.003045394,0.00004892515,0.00001295052,0.0003094962,0.00000361361,0.005674281],"genre_scores_gemma":[0.9952512,0.0009136355,0.0004301381,0.0003852744,0.00003334894,0.00003812835,0.0002023299,0.000007111635,0.00273893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247815,"threshold_uncertainty_score":0.4469463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07618061610795408,"score_gpt":0.2900237844404385,"score_spread":0.2138431683324844,"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."}}