{"id":"W4289528134","doi":"10.3390/safety8030055","title":"Leveraging Intellectual Property to Prevent Nuclear War","year":2022,"lang":"en","type":"article","venue":"Safety","topic":"Nuclear Issues and Defense","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Goodwill; Nuclear weapon; Harm; Business; International trade; Intellectual property; Nuclear ethics; Computer security; Law and economics; Economics; Law; Finance; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005781918,0.00006091694,0.00008937575,0.0000370497,0.001295996,0.00002480471,0.0002398508,0.00001889473,0.01134169],"category_scores_gemma":[0.00015696,0.00004942287,0.00005297109,0.0002542798,0.00004607799,0.0000514671,0.0002918138,0.0001484528,0.0006939573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088046,"about_ca_system_score_gemma":0.0000685876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578834,"about_ca_topic_score_gemma":0.0001128702,"domain_scores_codex":[0.9988804,0.0002097837,0.0001152056,0.0001890094,0.0003476027,0.000258006],"domain_scores_gemma":[0.9996451,0.00004776522,0.00002122936,0.0001434748,0.00002341295,0.0001190052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002952115,0.0002545235,0.0001079211,0.000007729144,0.0000279394,0.00003144048,0.7107148,0.0005381485,0.000361025,0.009615652,0.2039763,0.0740693],"study_design_scores_gemma":[0.00006310124,0.00007109781,0.0001265055,0.000003546426,0.000003239745,0.000001743929,0.03105353,0.00006469619,0.000008952812,0.0002330537,0.9682761,0.00009443142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4720283,0.0001791651,0.00008632387,0.02632128,0.001170881,0.0008356791,0.00001652891,0.0003802824,0.4989815],"genre_scores_gemma":[0.9771902,0.00004086241,0.0003383477,0.001768949,0.0001655178,0.000008841085,0.000001512649,0.00001874162,0.02046705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7642998,"threshold_uncertainty_score":0.9967885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682608825621527,"score_gpt":0.2764067556346457,"score_spread":0.2495806673784304,"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."}}