{"id":"W2000149747","doi":"10.1177/0096340212464363","title":"The closest brush: How a UN secretary-general averted doomsday","year":2012,"lang":"en","type":"article","venue":"Bulletin of the Atomic Scientists","topic":"International Relations and Foreign Policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brush; Secretary general; Political science; Operations research; Law; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001379495,0.00008093057,0.00008499481,0.0000410914,0.001217899,0.000121337,0.0007956156,0.00006089635,0.0006477819],"category_scores_gemma":[0.0005129715,0.00004836885,0.0001385609,0.0002705363,0.0007394224,0.00005664736,0.0001468688,0.0001058043,0.0002549474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016185,"about_ca_system_score_gemma":0.0001131422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456566,"about_ca_topic_score_gemma":0.0001559494,"domain_scores_codex":[0.9985424,0.000216215,0.0001587703,0.0001228438,0.0005799871,0.0003797981],"domain_scores_gemma":[0.9991276,0.0002002151,0.0001689302,0.0002841638,0.0001248271,0.00009432006],"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":[0.000007641834,0.00003371915,0.009244299,0.000001531944,0.00002739283,2.801221e-7,0.001656856,0.000003074519,0.00009998182,0.9003938,0.08666693,0.001864497],"study_design_scores_gemma":[0.0001853061,0.00000503606,0.05666621,0.00001279152,0.00001547934,0.000005248787,0.0002477905,0.00009795835,0.0004103702,0.01212212,0.930145,0.00008673276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7406378,0.0004456893,0.0000649269,0.02157398,0.001953128,0.0002965573,0.00002716533,0.00003007044,0.2349706],"genre_scores_gemma":[0.9297715,0.00003305039,0.0002438175,0.0003346534,0.0003750411,0.000007678689,0.000002428488,0.000007139267,0.06922467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8882717,"threshold_uncertainty_score":0.9367218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292907150694145,"score_gpt":0.2692161908140779,"score_spread":0.2562871193071364,"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."}}