{"id":"W4230126760","doi":"10.1017/cbo9781316442951","title":"The Schematic State","year":2016,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Race (biology); Schematic; Politics; State (computer science); Racial group; Racial politics; Political science; Sociology; Genealogy; Gender studies; Law; History; Population; Demography; Engineering; 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":[0.0002283898,0.0002514435,0.0002784483,0.00006975936,0.0003909049,0.00005101729,0.0003942669,0.000177585,0.000003726359],"category_scores_gemma":[0.00008825622,0.0001822566,0.0001599504,0.000008823858,0.0001644462,0.00006614536,0.0001770032,0.0002425203,0.00003644231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148234,"about_ca_system_score_gemma":0.0001837575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143013,"about_ca_topic_score_gemma":0.000003404151,"domain_scores_codex":[0.9988754,0.00008110839,0.0002484479,0.0002458577,0.0002976629,0.0002515352],"domain_scores_gemma":[0.9980466,0.000653549,0.0004035622,0.0006243261,0.0001778446,0.00009409356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001932527,0.000003750019,9.055107e-7,0.0001176518,0.00005645951,0.00001366461,0.00002895968,2.820839e-7,0.000003425185,0.6762353,0.3216185,0.001901715],"study_design_scores_gemma":[0.0003543776,0.00001323357,0.00001265847,0.0002967,0.0001294182,0.000006803506,0.000007044584,0.0001251824,0.00005837523,0.003352597,0.9953861,0.0002575071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001355596,0.00005585072,0.003741528,0.00005218222,0.0002343798,0.0004898756,0.0001643625,0.0001503199,0.9949759],"genre_scores_gemma":[0.0001336266,0.00005082447,0.0003424837,0.00001657183,0.0001150318,0.000001278969,0.00002614161,0.00004220499,0.9992718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6737676,"threshold_uncertainty_score":0.7432207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235658001341035,"score_gpt":0.2534136747207517,"score_spread":0.2110570947073414,"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."}}