{"id":"W4406095768","doi":"10.1111/amet.13386","title":"I was wrong when I studied Russian nuclear weapons scientists","year":2025,"lang":"en","type":"article","venue":"American Ethnologist","topic":"Anthropology: Ethics, History, Culture","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nuclear weapon; Mistake; Adversary; Interview; State (computer science); Salient; Digitization; National security; Political science; Law; Sociology; Computer security; Engineering; Computer science","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0009187472,0.000217024,0.0004169586,0.0002037485,0.002699435,0.00009350826,0.001032603,0.0002942132,0.0006291827],"category_scores_gemma":[0.001680953,0.0002070449,0.0001277863,0.001060402,0.03674231,0.000150739,0.0002770721,0.0007800952,0.0003840616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006110944,"about_ca_system_score_gemma":0.0004760313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03628183,"about_ca_topic_score_gemma":0.02994385,"domain_scores_codex":[0.9973309,0.0005432094,0.0002823205,0.0006535307,0.0004149867,0.0007750776],"domain_scores_gemma":[0.9986945,0.0002365562,0.0002451051,0.0005500116,0.000124468,0.0001493176],"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":[0.000033165,0.0001926939,0.01270484,0.00001571367,0.0001484824,0.00004777405,0.06631713,0.000003560813,0.0002452012,0.7221475,0.1769984,0.02114549],"study_design_scores_gemma":[0.00022207,0.00009208478,0.01221468,0.0000308241,0.00004595761,7.775197e-7,0.183718,0.000005344396,0.00002674782,0.003971952,0.7993747,0.0002969171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05601833,0.001290664,0.0004807749,0.2106535,0.003218298,0.0005202594,0.00002788911,0.001153113,0.7266371],"genre_scores_gemma":[0.9676656,0.0003222307,0.002207582,0.003784511,0.0001424035,0.00002125343,0.000004846334,0.00002174378,0.02582979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9116473,"threshold_uncertainty_score":0.9985989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657442026073029,"score_gpt":0.3796294747859093,"score_spread":0.343055054525179,"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."}}