{"id":"W7094747814","doi":"","title":"9781040157381.pdf","year":2024,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Public health; National security; Key (lock); Government (linguistics); Intelligence 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001561679,0.000291348,0.0003222822,0.0001715092,0.0006352839,0.0008799546,0.001018025,0.0003971666,0.9375123],"category_scores_gemma":[0.0002463671,0.0002332201,0.0001643262,0.0007202079,0.0004552337,0.0002223832,0.0001559896,0.0005495683,0.9896467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901402,"about_ca_system_score_gemma":0.001020966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02682048,"about_ca_topic_score_gemma":0.03005066,"domain_scores_codex":[0.9971917,0.0004736974,0.0003268596,0.000513724,0.0008599705,0.000634027],"domain_scores_gemma":[0.9987519,0.0001406052,0.0002345375,0.0005287673,0.00007735773,0.0002667808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002434025,0.0000245965,0.00001303672,0.00005102404,0.00006000538,0.000005405113,0.001310894,1.213139e-7,1.692217e-7,0.1257955,0.1393158,0.733421],"study_design_scores_gemma":[0.00009655599,0.00001697739,0.0000304782,0.0001307704,0.00005805213,0.000002540994,0.0007540126,0.000003567799,2.179712e-7,0.01307734,0.9855517,0.0002777959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004880812,0.00002719235,0.00004643797,0.0219517,0.00313868,0.0008260992,4.258141e-8,0.0004253675,0.9735796],"genre_scores_gemma":[0.0007323594,0.0007839141,0.0001336755,0.002146251,0.002900683,0.0000735689,0.0001734964,0.0002473538,0.9928087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8462359,"threshold_uncertainty_score":0.9876484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627195018144962,"score_gpt":0.3463103918228035,"score_spread":0.3200384416413539,"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."}}