{"id":"W4392586742","doi":"10.2196/57012","title":"Blood Management: A Current Opportunity in Perioperative Medicine","year":2024,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Blood transfusion and management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood management; Blood product; Context (archaeology); Intensive care medicine; Current (fluid); Medicine; Perioperative; Value (mathematics); Transfusion medicine; Product (mathematics); Blood transfusion; Knowledge management; Risk analysis (engineering); Computer science; Engineering; Surgery; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008470692,0.0006339653,0.001061697,0.00106163,0.0001855894,0.00005066043,0.0002383854,0.0001241515,0.009387375],"category_scores_gemma":[0.0001109791,0.0004151591,0.0001409573,0.001427787,0.0007786191,0.0002491729,0.0001348249,0.0009866785,0.0001762134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851805,"about_ca_system_score_gemma":0.0002005891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001395819,"about_ca_topic_score_gemma":0.0001805996,"domain_scores_codex":[0.9962621,0.0002061422,0.0009407551,0.001048855,0.0009158086,0.0006263082],"domain_scores_gemma":[0.9984392,0.00008942003,0.00006009828,0.0006024468,0.0001931395,0.000615696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001486117,0.004804557,0.006265861,0.01072018,0.002722631,0.019491,0.1331197,0.00001913456,0.02738416,0.2828471,0.06678742,0.4443521],"study_design_scores_gemma":[0.01820758,0.0038069,0.03293499,0.01115078,0.001344255,0.0004039041,0.01562719,0.00123697,0.0005012936,0.0002016311,0.9137553,0.0008291785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2168141,0.04216995,0.001829346,0.1322548,0.004106544,0.01162475,0.00004542362,0.00115993,0.5899951],"genre_scores_gemma":[0.9483726,0.01022823,0.0003753134,0.004633314,0.00139211,0.001400049,0.0002398656,0.0001146781,0.03324383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8469679,"threshold_uncertainty_score":0.99983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390045844547753,"score_gpt":0.3696357377909572,"score_spread":0.3257352793454797,"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."}}