{"id":"W3098534525","doi":"10.1007/s12630-020-01858-3","title":"Kanga cloths to smartphones: how should we measure blood loss in the operating room?","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"University of Toronto","keywords":"Measure (data warehouse); Computer science; Medicine; Database","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":[0.002053769,0.0006027254,0.0008126961,0.0006918748,0.004151062,0.002692589,0.00115882,0.02763341,0.006399893],"category_scores_gemma":[0.01898278,0.000440399,0.0008858475,0.0004267034,0.002284923,0.004726702,0.001175501,0.03107948,0.004954183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005760497,"about_ca_system_score_gemma":0.0065364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03690987,"about_ca_topic_score_gemma":0.05696115,"domain_scores_codex":[0.99787,0.0005912101,0.0003371056,0.0002405294,0.0006132254,0.0003479395],"domain_scores_gemma":[0.9936981,0.002119043,0.0004837388,0.0001336413,0.001456119,0.002109359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001014115,0.0001530407,0.00826335,0.0001008746,0.00003183448,0.01285475,0.0008898458,0.00007107492,0.0005754873,0.00223444,0.936071,0.03865297],"study_design_scores_gemma":[0.0001572161,0.0004030452,0.01248169,0.001671624,0.0000943576,0.03716968,0.008678515,0.001119694,0.0005166331,0.01697448,0.9205307,0.0002023485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007560347,0.0007134851,0.0001066522,0.9918324,0.004321777,0.000007160422,0.00001308012,0.00001349721,0.002235941],"genre_scores_gemma":[0.01284822,0.002544433,0.0009083051,0.9544201,0.02071907,0.0000307856,0.00001850714,0.00003049939,0.008480101],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03690987,"threshold_uncertainty_score":0.07339007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317539340229747,"score_gpt":0.248314201275639,"score_spread":0.2165602672526643,"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."}}