{"id":"W2025095570","doi":"10.1353/dss.2012.0031","title":"Kinder, Gentler Cuts","year":2012,"lang":"en","type":"article","venue":"Dissent","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); State (computer science); State government; Goods and services; Political science; Public administration; Local government; Business; Economics; Economy; Geography; Archaeology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001893649,0.00005777691,0.00007390005,0.00002235744,0.0003639347,0.00002576824,0.00006994973,0.00003518647,0.000815832],"category_scores_gemma":[0.00006676756,0.00004890798,0.00004569808,0.0001081696,0.00009795096,0.0001386698,0.000021011,0.0000396527,0.0004559444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003517847,"about_ca_system_score_gemma":0.00002275316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003601004,"about_ca_topic_score_gemma":0.0001815016,"domain_scores_codex":[0.9992412,0.00005194076,0.0000868309,0.00008153904,0.0002520706,0.0002864334],"domain_scores_gemma":[0.9996792,0.00005526148,0.00003056823,0.00007079742,0.00003913378,0.0001250041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000793092,0.000294254,0.5812807,0.000007802838,0.00007149435,0.000002054058,0.1279704,7.529595e-7,0.0001529629,0.156682,0.1232645,0.01026517],"study_design_scores_gemma":[0.0001133865,0.000006408773,0.1285993,0.000004849694,0.0000145893,2.89633e-7,0.01983155,0.00000340341,0.0002147784,0.0005128185,0.8505694,0.0001292291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3180768,0.002798931,0.0003665196,0.004210999,0.001914676,0.0002153125,0.000004103785,0.0001377383,0.6722749],"genre_scores_gemma":[0.9796941,0.0001339698,0.00003958763,0.0002000735,0.0005957356,0.0000108263,0.000002646941,0.000005046084,0.01931798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7273049,"threshold_uncertainty_score":0.8932788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940156099311013,"score_gpt":0.3718563439593126,"score_spread":0.3124547829662025,"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."}}