{"id":"W2140764670","doi":"10.1302/0301-620x.91b11.22292","title":"An algorithm for the surgical treatment of periprosthetic fractures of the femur around a well-fixed femoral component","year":2009,"lang":"en","type":"article","venue":"Journal of Bone and Joint Surgery - British Volume","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Periprosthetic; Medicine; Algorithm; Fixation (population genetics); Surgery; Reduction (mathematics); Femur; Femoral fracture; Arthroplasty; Mathematics; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005623651,0.0001436035,0.000901229,0.0000813116,0.0001497967,0.00004250423,0.00003474654,0.00006946286,0.00008484872],"category_scores_gemma":[0.00003557964,0.00008310591,0.0005700706,0.0000796626,0.000206892,0.00009782553,0.00001091326,0.0001394771,3.951872e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002775678,"about_ca_system_score_gemma":0.0001263727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415943,"about_ca_topic_score_gemma":0.00001414139,"domain_scores_codex":[0.998319,0.00007739634,0.0008869171,0.0001289044,0.0003659903,0.0002217425],"domain_scores_gemma":[0.9987074,0.0001789042,0.0006258995,0.0001793027,0.0001645124,0.0001440146],"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":[0.0006604075,0.001888602,0.05135676,0.00006456956,0.0002273276,0.0009309308,0.0003515104,0.00001805022,0.001111793,0.000008464169,0.005425649,0.9379559],"study_design_scores_gemma":[0.003575151,0.002904932,0.9278734,0.0006196714,0.0003514372,0.02297887,0.0004081496,0.001898521,0.0007014407,0.00006472629,0.03847502,0.0001486284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910185,0.005985365,0.0001644047,0.002076917,0.0003622884,0.0002984913,0.00005450339,0.000005041957,0.00003454051],"genre_scores_gemma":[0.9964027,0.002177814,0.0005552178,0.0002010505,0.0003818065,0.000002647623,0.000007109984,0.00001249009,0.0002591887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9378073,"threshold_uncertainty_score":0.338896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791503364273636,"score_gpt":0.2605371506645343,"score_spread":0.242622117021798,"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."}}