{"id":"W2969811330","doi":"10.5055/jem.2019.0425","title":"Nuclear emergencies and natural disasters","year":2019,"lang":"en","type":"article","venue":"Journal of Emergency Management","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Natural disaster; Radiological weapon; Nuclear power plant; Nuclear power; Plan (archaeology); Nuclear disaster; Natural (archaeology); Emergency management; Environmental planning; Emergency response; Accident (philosophy); Risk analysis (engineering); Business; Nuclear plant; Medical emergency; Engineering; Geography; Political science; Medicine; Nuclear engineering; Meteorology","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":[0.001051744,0.0001826543,0.0001858875,0.0006303849,0.001181304,0.001650267,0.000203324,0.0008822238,0.002821609],"category_scores_gemma":[0.003064018,0.00008500683,0.0001534983,0.0007373983,0.002626364,0.00173465,0.002065799,0.0009300112,0.0001775878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100935,"about_ca_system_score_gemma":0.001381891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003888148,"about_ca_topic_score_gemma":0.005137308,"domain_scores_codex":[0.9986383,0.0007633009,0.00005382411,0.00007803851,0.0002990079,0.0001674466],"domain_scores_gemma":[0.9984663,0.0004927972,0.0005665576,0.00003664184,0.0001481766,0.0002896164],"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":[0.0001317627,0.0007566255,0.2457394,0.0008297416,0.0001169213,0.003602615,0.1242591,0.004576231,0.0009148731,0.4210908,0.02033563,0.1776462],"study_design_scores_gemma":[0.00002018856,0.0004315286,0.3342873,0.0009113001,0.00003503566,0.002893679,0.3597299,0.002497335,0.0001843684,0.1228614,0.1760264,0.0001215598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7614418,0.0208705,0.004198611,0.04148015,0.0005943719,0.0001064058,0.0001799918,0.00002067685,0.1711075],"genre_scores_gemma":[0.9895161,0.006870574,0.0004501784,0.0008157468,0.0002133158,0.00001882421,0.00004774684,0.00000284356,0.002064794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003888148,"threshold_uncertainty_score":0.00943917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564504493066366,"score_gpt":0.3033728611307223,"score_spread":0.2877278162000587,"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."}}