{"id":"W4255452789","doi":"10.1109/trpms.2021.3135118","title":"Low-Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council; Vlaamse regering; Polytechnique Montréal; Huazhong University of Science and Technology; Universiteit Antwerpen; North Carolina State University; Centre National de la Recherche Scientifique; College of Medicine, Drexel University; Fonds Wetenschappelijk Onderzoek; Queensland University of Technology; Old Dominion University; Drexel University; George Washington University","keywords":"Engineering ethics; Plasma medicine; Field (mathematics); Perspective (graphical); Nanotechnology; Computer science; Atmospheric-pressure plasma; Engineering; Physics; Plasma; Artificial intelligence; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005437833,0.001147304,0.001028547,0.002121502,0.001595516,0.004733596,0.001719502,0.006290179,0.006865738],"category_scores_gemma":[0.003503171,0.0004486472,0.0008837192,0.001732755,0.003195407,0.009575552,0.002937895,0.008761714,0.002475292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002328108,"about_ca_system_score_gemma":0.005969206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257938,"about_ca_topic_score_gemma":0.001674567,"domain_scores_codex":[0.9984389,0.0005489669,0.0000922734,0.0001728757,0.0005775091,0.0001695783],"domain_scores_gemma":[0.9949039,0.002882191,0.0001988883,0.0001438677,0.00146871,0.0004023332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002761026,0.0005081418,0.00080101,0.01053161,0.00009034902,0.0008635453,0.001164214,0.002779066,0.004574092,0.3217396,0.1484284,0.5082439],"study_design_scores_gemma":[0.00002142644,0.0003866852,0.0004412938,0.003253063,0.00003518403,0.0008256638,0.001377167,0.001375246,0.001176467,0.1298648,0.8611714,0.00007168471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009023726,0.8698736,0.007512461,0.0975643,0.007108397,0.00004601071,0.00006502966,0.0001119371,0.01681579],"genre_scores_gemma":[0.01638671,0.9360634,0.01376402,0.01805877,0.009199129,0.0001423741,0.00008181066,0.00005590933,0.006247889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006865738,"threshold_uncertainty_score":0.02875835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074411593128633,"score_gpt":0.3182356570973907,"score_spread":0.2974915411661043,"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."}}