{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008728764,0.000696694,0.0003814757,0.001196108,0.007039439,0.004032388,0.0006787879,0.00238998,0.248003],"category_scores_gemma":[0.002804171,0.0004992799,0.0003430434,0.0005179069,0.001121178,0.002287459,0.001937571,0.00565344,0.0606179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914094,"about_ca_system_score_gemma":0.002194596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02836073,"about_ca_topic_score_gemma":0.1142987,"domain_scores_codex":[0.9993306,0.00007269154,0.00001601842,0.0001176149,0.0002857062,0.0001774867],"domain_scores_gemma":[0.9990147,0.00007839665,0.00002912429,0.00004503805,0.00045511,0.0003774976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009752895,0.00001119862,0.0001068384,0.000009629486,0.000001058772,0.00004483364,0.00008620229,0.000007938703,0.00006162698,0.002893684,0.988731,0.008036348],"study_design_scores_gemma":[0.000004664252,0.000009242788,0.0008934345,0.00004226416,0.000001851665,0.00005330496,0.0004501044,0.00001303339,0.00004034374,0.0004073294,0.9980795,0.000004849888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.004370176,0.01071966,0.0007558325,0.2072203,0.03893601,0.00009303067,0.00117856,0.0006288155,0.7360976],"genre_scores_gemma":[0.008361526,0.001617544,0.0004051591,0.03215891,0.002126096,0.00002586359,0.000289765,0.0001300188,0.9548849],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.248003,"threshold_uncertainty_score":0.8296525,"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."}}