{"id":"W7132411548","doi":"","title":"Outcomes of Surgical Treatment of Femoral Periprosthetic Fractures","year":2025,"lang":"lt","type":"dissertation","venue":"Lithuanian University of Health Sciences","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Periprosthetic; Statistical analysis; Significant difference","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":[0.0004766378,0.0002430988,0.0003476904,0.001112369,0.0005247334,0.0007117005,0.0004920886,0.0004197633,0.003174906],"category_scores_gemma":[0.004766673,0.0001350605,0.0009917204,0.0008811351,0.0003989374,0.0003988474,0.0007027395,0.0005453,0.0003317989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009857101,"about_ca_system_score_gemma":0.0009539702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840183,"about_ca_topic_score_gemma":0.004679088,"domain_scores_codex":[0.9990327,0.000161989,0.0001562847,0.0000795899,0.0003877044,0.0001818462],"domain_scores_gemma":[0.9976888,0.0004725817,0.0009457216,0.00007797383,0.0004075446,0.0004073002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001522816,0.0004028204,0.8700371,0.0007227088,0.0005340852,0.002079098,0.0004248845,0.001137146,0.0007112838,0.0004116267,0.003411743,0.1186046],"study_design_scores_gemma":[0.00007132222,0.001467591,0.9820041,0.0003821309,0.0003202662,0.00914597,0.001477469,0.0007675705,0.0004541978,0.0008013148,0.003052621,0.00005540417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809621,0.01149128,0.0005823656,0.001240248,0.0001979427,0.00004874255,0.0009906637,0.00001639355,0.004470177],"genre_scores_gemma":[0.9969981,0.00161338,0.0001088667,0.0001067495,0.00008042917,0.00001927581,0.0006732432,0.000004887084,0.0003950128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003174906,"threshold_uncertainty_score":0.01062113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524117988445691,"score_gpt":0.3195017564585095,"score_spread":0.2942605765740526,"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."}}