{"id":"W3040811282","doi":"10.1016/j.resuscitation.2020.06.034","title":"Taipei Azalea: Another example of “MacGyver bias” during COVID-19 pandemic?","year":2020,"lang":"en","type":"letter","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Azalea; Scopus; Coronavirus disease 2019 (COVID-19); Medical emergency; Web of science; Respirator; MEDLINE; Disease; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002030846,0.0002509099,0.0003025748,0.0003224525,0.006442674,0.002544858,0.000822404,0.01802969,0.006898171],"category_scores_gemma":[0.008824295,0.0002822299,0.0003540483,0.0003557502,0.001920985,0.002051542,0.001911052,0.01303632,0.0009898286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993315,"about_ca_system_score_gemma":0.004273156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03307214,"about_ca_topic_score_gemma":0.05833724,"domain_scores_codex":[0.9986973,0.0004036123,0.00007583716,0.0001417719,0.0001362568,0.0005452782],"domain_scores_gemma":[0.9978865,0.0007737207,0.0003138604,0.0001187673,0.0003608672,0.0005462657],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000183999,0.0000693086,0.03523244,0.0001555469,0.00009550376,0.03402589,0.04020314,0.0001220511,0.001804163,0.04341648,0.8225995,0.0220919],"study_design_scores_gemma":[0.0001019561,0.0001044764,0.02606782,0.0006045336,0.00008925278,0.01000765,0.07172185,0.0006599939,0.0005848622,0.01230746,0.8776504,0.00009968856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04631678,0.000818308,0.0002932952,0.9239575,0.004593279,0.00002394494,0.00008215072,0.00003276917,0.0238819],"genre_scores_gemma":[0.1936713,0.0007064193,0.000367963,0.7828755,0.004537616,0.00003599693,0.00004234087,0.00004689444,0.01771591],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9979692,"threshold_uncertainty_score":0.0657593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07238198023381456,"score_gpt":0.31035793908146,"score_spread":0.2379759588476455,"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."}}