{"id":"W4405675529","doi":"10.1101/2024.12.19.24319329","title":"Transfusion Probability as a Novel Measure for Lab-Guided Medical Decision-Making","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto; Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Measure (data warehouse); Medical decision making; Computer science; Medicine; Medical emergency; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005694267,0.0005025002,0.0006772887,0.0002733137,0.0002343932,0.0003343777,0.003281905,0.000908459,0.0001270488],"category_scores_gemma":[0.009642005,0.0004263505,0.0004536955,0.0005284321,0.00008687588,0.00008733294,0.003165109,0.002729732,0.0000895142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666252,"about_ca_system_score_gemma":0.00211855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482385,"about_ca_topic_score_gemma":0.0004079257,"domain_scores_codex":[0.9939006,0.0003280497,0.001005821,0.002030917,0.002105907,0.0006286894],"domain_scores_gemma":[0.9950204,0.001822156,0.0002257621,0.002031566,0.000514179,0.0003858667],"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":[0.0001854367,0.000566165,0.01650369,0.01170868,0.0002305972,0.0003159606,0.007953362,0.003827586,0.0004433742,0.1085208,0.003184669,0.8465597],"study_design_scores_gemma":[0.0006307812,0.0001856878,0.004643234,0.006919262,0.00005710692,0.0001978364,0.00001201914,0.5143402,0.0001103755,0.4626328,0.009420224,0.0008504752],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2039452,0.0007987653,0.7699136,0.01666204,0.004747965,0.001993032,0.00002953549,0.000901842,0.001008],"genre_scores_gemma":[0.7746668,0.00003702848,0.2231599,0.000792813,0.0006080341,0.0005494731,0.00001106075,0.0000778149,0.00009698575],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8457093,"threshold_uncertainty_score":0.9998188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05266571298388763,"score_gpt":0.3669963858539469,"score_spread":0.3143306728700593,"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."}}