{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004599675,0.0002775749,0.0001664776,0.001051091,0.001896083,0.004999494,0.0004687262,0.0006405602,0.02209793],"category_scores_gemma":[0.002447027,0.0002045925,0.0002478226,0.001685813,0.003608119,0.00370998,0.001407084,0.00150583,0.003791375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145157,"about_ca_system_score_gemma":0.002432628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201231,"about_ca_topic_score_gemma":0.01496942,"domain_scores_codex":[0.9994627,0.0002294437,0.00001621446,0.0001093617,0.0001263839,0.00005589339],"domain_scores_gemma":[0.9996033,0.0001533929,0.00003093229,0.00008299893,0.0001014166,0.00002786587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002929209,0.000001632977,0.00007022262,0.00000720278,4.304113e-7,0.000005089477,0.0004536199,0.0000852969,0.00001793342,0.9756266,0.01436847,0.00936053],"study_design_scores_gemma":[0.000002559494,0.000006716124,0.000299763,0.00004707555,0.000002135836,0.0000410331,0.0005647227,0.0005332785,0.00007949848,0.1298269,0.8685914,0.000004949874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003314698,0.001702354,0.01776038,0.003845966,0.0006530875,0.00004130208,0.0004151103,0.0001993526,0.9720677],"genre_scores_gemma":[0.312155,0.005459477,0.01801942,0.002209785,0.0004858903,0.0003063011,0.001192374,0.0003787435,0.6597929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02209793,"threshold_uncertainty_score":0.0739249,"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."}}