{"id":"W4400764224","doi":"10.3390/prosthesis6040058","title":"Mortality Rate in Periprosthetic Proximal Femoral Fractures: Impact of Time to Surgery","year":2024,"lang":"en","type":"article","venue":"Prosthesis","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Periprosthetic; Medicine; Surgery; Mortality rate; Arthroplasty","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008931754,0.0002551947,0.0004218855,0.001294795,0.0002354914,0.0005605083,0.0003344641,0.0004308665,0.001399081],"category_scores_gemma":[0.003672156,0.0001893469,0.0007941956,0.001086923,0.0002222197,0.00049195,0.0004092252,0.0004906572,0.0002114885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732307,"about_ca_system_score_gemma":0.0003089236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333475,"about_ca_topic_score_gemma":0.002604465,"domain_scores_codex":[0.9990883,0.0002350686,0.00013996,0.0002021766,0.0001843242,0.0001502179],"domain_scores_gemma":[0.9967356,0.0007109241,0.001667416,0.0002209571,0.0002646682,0.0004004226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481704,0.00001201606,0.9982768,0.000008020571,0.00005268511,0.0000658167,0.00001378207,0.00005932614,0.00009167386,0.000008541698,0.00002407811,0.001239059],"study_design_scores_gemma":[0.000002336856,0.00009374613,0.9992931,0.000004826027,0.00002540142,0.0002835076,0.00004551899,0.0001533742,0.00003938462,0.00001461704,0.00004119293,0.000003009504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983903,0.0008316701,0.0001562584,0.0000394687,0.00001012989,0.000003228401,0.0002235076,0.000003541812,0.0003419028],"genre_scores_gemma":[0.999485,0.000147484,0.00005115332,0.00001039484,0.0000194596,0.000003059462,0.0002126189,0.000001889305,0.00006888626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002333475,"threshold_uncertainty_score":0.004723608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092278277933392,"score_gpt":0.3352944563380371,"score_spread":0.3143716735587032,"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."}}