{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009712882,0.0001020213,0.0001608347,0.00004833354,0.002560472,0.0001053443,0.0001720805,0.00008916752,0.000126894],"category_scores_gemma":[0.0002648367,0.0001006644,0.00002604756,0.0001796808,0.0003192091,0.000359341,0.00008142054,0.0003555638,0.00003320011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000344988,"about_ca_system_score_gemma":0.00004657966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01230903,"about_ca_topic_score_gemma":0.02360757,"domain_scores_codex":[0.9985303,0.000859938,0.0001227885,0.0001300036,0.0001771873,0.0001797342],"domain_scores_gemma":[0.9988868,0.000493383,0.00008194611,0.0002712223,0.0001594046,0.0001072068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001202132,0.0001287978,0.8233735,0.00002534625,0.00003062155,2.552374e-7,0.1359758,1.819248e-7,0.00004114656,0.03202821,0.001069608,0.007314483],"study_design_scores_gemma":[0.000370514,0.00007070478,0.8422623,0.00001868085,0.00002425747,8.654767e-7,0.04833525,0.00005218721,0.00002308662,0.004265545,0.1043829,0.0001936976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703271,0.0021265,0.0000814011,0.005094218,0.0001671647,0.0003207558,0.0000140677,0.00007613825,0.02179263],"genre_scores_gemma":[0.9962679,0.001973102,0.00002996701,0.000467539,0.0001296911,0.00002424678,0.00001694371,0.000005510691,0.001085076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033133,"threshold_uncertainty_score":0.9987381,"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."}}