{"id":"W4313464290","doi":"10.22270/ijdra.v10i2.522","title":"Analysis on the registration and review system of emergency medical devices in China and abroad in the context of COVID-19","year":2022,"lang":"en","type":"article","venue":"International Journal of Drug Regulatory Affairs","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Context (archaeology); Medical emergency; Quality (philosophy); European union; Coronavirus disease 2019 (COVID-19); Emergency management; Medicine; Business; Political science; Law; Geography; Infectious disease (medical specialty)","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":[0.00646923,0.00006884654,0.0002597479,0.000322191,0.00008614357,0.000003882213,0.0004146678,0.00002324883,0.0003506912],"category_scores_gemma":[0.0004394835,0.00004113167,0.00008617612,0.0002908995,0.00005339664,0.00007396589,0.0001131003,0.0002923914,3.89277e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423062,"about_ca_system_score_gemma":0.0002318049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002094459,"about_ca_topic_score_gemma":0.001200175,"domain_scores_codex":[0.996285,0.001649846,0.0009533834,0.00009528988,0.0009380053,0.00007847024],"domain_scores_gemma":[0.9982566,0.0005044502,0.0009523525,0.0001454742,0.0000905079,0.00005062291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002657912,0.0009934298,0.4634454,0.006555052,0.003155832,0.0004139354,0.1547577,0.001133014,0.00007431224,0.294629,0.06188617,0.01029825],"study_design_scores_gemma":[0.00293191,0.0002830797,0.4113671,0.005451709,0.0005910933,0.00007347271,0.5309658,0.001157364,0.000008672205,0.001122117,0.04584815,0.0001995008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645751,0.004489794,0.00004006653,0.02706688,0.0003031469,0.0003680828,0.00001565455,0.000002346513,0.003139002],"genre_scores_gemma":[0.9972766,0.001491532,0.000004160876,0.00101214,0.00003478496,0.00002464225,0.000003168916,0.000003408166,0.0001495824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3762081,"threshold_uncertainty_score":0.3839823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117474796088531,"score_gpt":0.4000642910526693,"score_spread":0.368889543091784,"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."}}