{"id":"W2775102220","doi":"10.1097/brs.0000000000002515","title":"Predictive Modeling for Blood Transfusion After Adult Spinal Deformity Surgery","year":2017,"lang":"en","type":"article","venue":"Spine","topic":"Blood transfusion and management","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Medicine; Confidence interval; Hematocrit; Receiver operating characteristic; Surgery; Blood transfusion; Retrospective cohort study; Random forest; Current Procedural Terminology; Generalizability theory; Cohort; Internal medicine; Statistics; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0002191518,0.0001566158,0.0003037937,0.00008653427,0.000256622,0.00003198417,0.00009446041,0.00008652955,0.00007934352],"category_scores_gemma":[0.00008933941,0.0001269613,0.0002448265,0.00003435646,0.0000473724,0.000144898,0.00003312868,0.0001269457,0.000009622559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001750397,"about_ca_system_score_gemma":0.00005053352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554473,"about_ca_topic_score_gemma":0.0001535479,"domain_scores_codex":[0.9989449,0.000007853036,0.000250927,0.0003019991,0.0002205496,0.0002737367],"domain_scores_gemma":[0.9991447,0.000006290336,0.00005605959,0.0004777276,0.0001715179,0.0001437168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04319354,0.009188958,0.1278188,0.009932907,0.003540535,0.001148917,0.002088957,0.0003867778,0.02274524,0.007260472,0.00435822,0.7683367],"study_design_scores_gemma":[0.04843151,0.008570308,0.7215691,0.005898748,0.007988639,0.0004085378,0.0006514825,0.1433837,0.0454499,0.003241063,0.01229266,0.002114392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182411,0.0001714542,0.07395779,0.0040058,0.0004244591,0.001113909,0.00002228248,0.00009256342,0.001970597],"genre_scores_gemma":[0.9959677,0.0004178658,0.001770528,0.0007159676,0.0003257014,0.0002077289,0.00002283445,0.00002588173,0.0005457976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662223,"threshold_uncertainty_score":0.5177333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648194186842243,"score_gpt":0.2849761660390553,"score_spread":0.2584942241706329,"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."}}