{"id":"W4210492069","doi":"10.1002/lary.30034","title":"Improving Nasopharyngeal Swab Technique via Simulation for Frontline Workers","year":2022,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Medicine; Medical emergency","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":[0.002790764,0.0007156507,0.0002362067,0.0002935175,0.0004116209,0.0005908785,0.00100353,0.0006446145,0.004589106],"category_scores_gemma":[0.008664543,0.0002430184,0.0004861856,0.00008169551,0.000329026,0.0004799505,0.00110991,0.0003644486,0.00134623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006742079,"about_ca_system_score_gemma":0.001812437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002885196,"about_ca_topic_score_gemma":0.005494931,"domain_scores_codex":[0.9986784,0.0006998901,0.00006940783,0.0001075879,0.0002723578,0.000172292],"domain_scores_gemma":[0.9970432,0.0009952404,0.0006770458,0.0003273349,0.0004963421,0.0004609181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00445099,0.0187863,0.2896547,0.001416868,0.00007591148,0.001038638,0.007075287,0.01013105,0.0564136,0.0001885285,0.005272401,0.6054958],"study_design_scores_gemma":[0.001737141,0.1140199,0.7032572,0.00181033,0.0002783118,0.003929359,0.008948456,0.08453178,0.05110494,0.0009857232,0.02899972,0.0003972382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827512,0.0001770477,0.01371636,0.0004048762,0.00004080421,0.0005650501,0.0001062,0.0002929348,0.001945561],"genre_scores_gemma":[0.9595867,0.0002647963,0.03828705,0.0001879944,0.00003277856,0.0004707188,0.0001296298,0.00001789965,0.001022283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004589106,"threshold_uncertainty_score":0.01535213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576956390049943,"score_gpt":0.3310486691423882,"score_spread":0.3052791052418888,"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."}}