{"id":"W6947235928","doi":"10.3886/e201881v1","title":"Data and Code for: American Indian Wealth in the Early 20th Century","year":2025,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Indigenous; Per capita; Code (set theory); Period (music); National wealth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008589584,0.0002577424,0.0002992025,0.00006866848,0.0001870113,0.0002345475,0.004806542,0.0001223571,0.00239432],"category_scores_gemma":[0.0002509776,0.0002049231,0.00002292873,0.0004607771,0.0004701192,0.0004126442,0.004162524,0.0003818751,0.0001027897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267885,"about_ca_system_score_gemma":0.00003415396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006723775,"about_ca_topic_score_gemma":0.03794982,"domain_scores_codex":[0.9978276,0.00007223643,0.0002956462,0.0009711036,0.000372033,0.0004613935],"domain_scores_gemma":[0.9957377,0.0001744711,0.0002334455,0.003744599,0.000005015908,0.0001048262],"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":[0.00001368623,0.00005717548,0.001476321,0.00004793024,0.000009103713,0.000009489223,0.00008139612,4.7794e-8,0.000002250743,0.0000218875,0.9959912,0.002289503],"study_design_scores_gemma":[0.0002533173,0.00004291115,0.01591609,0.0000372327,0.00004212203,0.000006224527,0.001394513,0.0000128576,6.303071e-7,0.00001102388,0.982067,0.0002160864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004396865,0.0001757703,0.000003658596,0.001168827,0.0001880389,0.0005281286,0.9932872,0.00001637444,0.0002351264],"genre_scores_gemma":[0.0005550354,0.005718496,0.00004279126,0.002422111,0.00006355809,0.00003731044,0.9911126,0.000008169622,0.00003991844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03122604,"threshold_uncertainty_score":0.9998906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535323730754999,"score_gpt":0.3238357665882995,"score_spread":0.2684825292807495,"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."}}