{"id":"W4394010873","doi":"10.1111/trf.17827","title":"Leading digit bias in hemoglobin thresholds for red cell transfusion","year":2024,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Canadian Blood Services; University of Toronto","funders":"Department of Haematology, Christian Medical College, Vellore; University of Toronto; Canadian Blood Services","keywords":"Medicine; Interquartile range; Confidence interval; Red Cell; Hemoglobin; Numerical digit; Hematocrit; Internal medicine; Pediatrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01145687,0.0002464113,0.0003199778,0.0008241393,0.0004206895,0.00127847,0.001010678,0.0006389594,0.002870965],"category_scores_gemma":[0.0642631,0.00018367,0.0005551547,0.000983224,0.001281127,0.0006515029,0.0007922171,0.0008939736,0.0002531252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052363,"about_ca_system_score_gemma":0.001048407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558524,"about_ca_topic_score_gemma":0.01232074,"domain_scores_codex":[0.9899418,0.005400323,0.0007389652,0.001950772,0.001450463,0.0005177592],"domain_scores_gemma":[0.9529402,0.02480835,0.01696656,0.00251281,0.002044254,0.0007279077],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002017603,0.00006977886,0.9786903,0.0001122172,0.0002696319,0.0001197731,0.0007820304,0.0007447758,0.0003260686,0.002377872,0.00124233,0.01324775],"study_design_scores_gemma":[0.0001189949,0.0004219773,0.9792109,0.0002080067,0.0002984845,0.0005423087,0.0008795814,0.006397233,0.001545819,0.008301301,0.002035772,0.00003966282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984606,0.001526352,0.008380291,0.001086049,0.0001485062,0.00007539982,0.00100853,0.00004126269,0.003127536],"genre_scores_gemma":[0.9984756,0.00006723838,0.0009026115,0.0001734019,0.00002311185,0.00001625702,0.0001482635,0.000006935077,0.0001864722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9885432,"threshold_uncertainty_score":0.06059039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04110787785127266,"score_gpt":0.2934428460785616,"score_spread":0.2523349682272889,"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."}}