{"id":"W7164562297","doi":"10.1515/9781620978665-008","title":"Chapter 6: Race: United States—The New Brunswick Census of 1851","year":2024,"lang":"","type":"book-chapter","venue":"The New Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Demographic analysis","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007777112,0.001056378,0.001067783,0.000300395,0.0005121075,0.0003416318,0.001061651,0.0006205463,0.001274339],"category_scores_gemma":[0.00009845048,0.0006836129,0.0006001307,0.00005613487,0.0006611056,0.00007800645,0.0005617834,0.001401008,0.0002391177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009167856,"about_ca_system_score_gemma":0.0004902603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007829209,"about_ca_topic_score_gemma":0.0007218455,"domain_scores_codex":[0.9954871,0.0001264926,0.001968393,0.0006966405,0.001091365,0.000630009],"domain_scores_gemma":[0.9944378,0.001121082,0.001574246,0.002116948,0.0004022205,0.0003476805],"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":[0.0002349134,0.00002202333,0.000001083666,0.0006199303,0.0005753559,0.00001240758,0.009229878,0.001258776,0.00003632551,0.9499215,0.01088945,0.02719828],"study_design_scores_gemma":[0.0007106151,0.00009892597,0.0000128612,0.001153449,0.001329722,0.00004409082,0.00005079167,0.01169636,0.0003686481,0.2879422,0.6960579,0.0005343691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001839665,0.007249717,0.006087582,0.008429012,0.003805737,0.006417585,0.0007099305,0.0005190365,0.9649417],"genre_scores_gemma":[0.01336924,0.0006649083,0.0008330916,0.0004590327,0.001282325,0.00001122983,0.0002856253,0.000356315,0.9827383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6851684,"threshold_uncertainty_score":0.9996386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07371429501756523,"score_gpt":0.3067948935374918,"score_spread":0.2330805985199266,"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."}}