{"id":"W2598147574","doi":"10.1126/science.355.6331.1252","title":"Tweak makes U.S. nukes more precise—and deadlier","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Arms race; Balance (ability); Upset; Business; Biology; Political science; Neuroscience; Economics; Political economy; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005027932,0.0007795588,0.0004610135,0.001034472,0.003496879,0.007151407,0.000844516,0.004325536,0.03484684],"category_scores_gemma":[0.01786696,0.0003733675,0.0004418235,0.0007656573,0.002700742,0.00617454,0.00337174,0.005550409,0.01742204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352447,"about_ca_system_score_gemma":0.005295184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145709,"about_ca_topic_score_gemma":0.01858378,"domain_scores_codex":[0.9965239,0.0009429055,0.0001725312,0.000502072,0.00105931,0.0007993029],"domain_scores_gemma":[0.9949414,0.0009929029,0.0006509045,0.0009000842,0.001798062,0.0007165654],"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":[0.0004276215,0.0001145986,0.008828622,0.0002373651,0.00009634076,0.0003969895,0.00201134,0.002076691,0.004206934,0.4248665,0.3639176,0.1928195],"study_design_scores_gemma":[0.00003307061,0.0001522761,0.004427575,0.0002335832,0.00003982335,0.0001710545,0.0009849927,0.001080158,0.003216203,0.05884077,0.9307493,0.00007119063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04750483,0.00832467,0.03115333,0.2180841,0.02226833,0.0001138791,0.001557891,0.003277457,0.6677155],"genre_scores_gemma":[0.6040205,0.003238254,0.0110594,0.04882651,0.002331696,0.00009117243,0.001036679,0.001198423,0.3281974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03484684,"threshold_uncertainty_score":0.1165743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388657186873497,"score_gpt":0.4147774661823448,"score_spread":0.3708908943136099,"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."}}