{"id":"W2149005720","doi":"10.1093/rpd/ncq201","title":"Development of a medical resource database for radiological emergency preparedness","year":2010,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Radiological weapon; Preparedness; Database; Resource (disambiguation); Software deployment; Computer science; Medical emergency; Medicine; Political science; Surgery; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01198388,0.0004663421,0.001141274,0.008965413,0.001230584,0.004019091,0.002705487,0.0009933132,0.01298343],"category_scores_gemma":[0.03163227,0.0006850564,0.0006150514,0.009073583,0.0003860334,0.004444897,0.001950294,0.001413625,0.007953799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002941794,"about_ca_system_score_gemma":0.009615903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657203,"about_ca_topic_score_gemma":0.008072702,"domain_scores_codex":[0.9934325,0.001552751,0.002129731,0.0008658539,0.001738998,0.0002800965],"domain_scores_gemma":[0.9666577,0.01071354,0.002737314,0.006545612,0.01083748,0.002508394],"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":[0.001251139,0.0009812536,0.07107071,0.001637791,0.0001456345,0.0006220938,0.002407874,0.008678726,0.006397283,0.0219764,0.2775601,0.607271],"study_design_scores_gemma":[0.0005197942,0.0004767588,0.07683998,0.0008728952,0.0001943531,0.0008570224,0.002490302,0.03904757,0.01652995,0.007073446,0.8547636,0.0003342942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.08633264,0.001532724,0.3156532,0.008408722,0.0007376043,0.01508085,0.4854789,0.02940203,0.0573734],"genre_scores_gemma":[0.1215317,0.0008257229,0.3652733,0.001075105,0.0001986774,0.005412402,0.4950593,0.001018108,0.009605583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01657203,"threshold_uncertainty_score":0.06337762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0757037200035932,"score_gpt":0.4294670907753768,"score_spread":0.3537633707717836,"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."}}