{"id":"W6926825538","doi":"10.25384/sage.c.5051994","title":"Frequency, Timing, and Prediction of Major Bleeding Complications From Percutaneous Renal Biopsy","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complication; Retrospective cohort study; Biopsy; Percutaneous; Blood transfusion; Kidney disease; Major bleeding; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000369052,0.0001646843,0.0003247071,0.0001557519,0.00009758631,0.0002008615,0.0009287496,0.0001428122,0.02230985],"category_scores_gemma":[0.0001266092,0.0001420624,0.00003288426,0.0001346736,0.0001350575,0.000178414,0.0005528261,0.0002737053,0.000124554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002018022,"about_ca_system_score_gemma":0.00009818045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738025,"about_ca_topic_score_gemma":0.0000750376,"domain_scores_codex":[0.9984375,0.00007335316,0.0003582159,0.0004606647,0.0004520711,0.0002181553],"domain_scores_gemma":[0.9986101,0.00007919998,0.0003566398,0.0007369007,0.00003574977,0.0001814348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005188615,0.0000380506,0.0004554248,0.00007864387,0.00008063736,0.00008634452,0.00007641759,3.392919e-7,0.8637084,0.00001574372,0.129276,0.006178844],"study_design_scores_gemma":[0.005164759,0.000911142,0.03149495,0.06331372,0.00297085,0.007684089,0.00184661,0.01046724,0.04000093,0.01157693,0.8201352,0.004433549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0225904,0.1807504,0.01735893,0.004885149,0.00203938,0.002074664,0.4814437,0.000726957,0.2881304],"genre_scores_gemma":[0.1505152,0.2580042,0.3948985,0.001200521,0.02092775,0.0001174197,0.02370062,0.003891216,0.1467445],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8237075,"threshold_uncertainty_score":0.9785839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07912267716910601,"score_gpt":0.328401710264752,"score_spread":0.2492790330956459,"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."}}