{"id":"W4214850682","doi":"10.1016/j.injury.2022.03.001","title":"Periprosthetic fracture rate after short and long hip nails: Analysis of a regional health database","year":2022,"lang":"en","type":"article","venue":"Injury","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Manitoba Health; University of Manitoba","funders":"Manitoba Centre for Health Policy, University of Manitoba; University of Manitoba","keywords":"Periprosthetic; Medicine; Hip fracture; Nail (fastener); Femur; Demographics; Surgery; Dentistry; Femur fracture; Orthodontics; Arthroplasty; Osteoporosis; Internal medicine; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003620773,0.00011004,0.0003653987,0.0002998381,0.00009585836,0.000007854293,0.00005976138,0.00003446993,0.001645643],"category_scores_gemma":[0.00002243203,0.0000907938,0.0001119876,0.0004548529,0.00007753706,0.0000472161,0.00007185203,0.0002843924,0.000001945518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000495787,"about_ca_system_score_gemma":0.0001174072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009558169,"about_ca_topic_score_gemma":0.00002758146,"domain_scores_codex":[0.9989688,0.0001040216,0.0002314843,0.0002496691,0.0002729402,0.0001731266],"domain_scores_gemma":[0.9993824,0.00003903999,0.00006863018,0.0003374343,0.00003444101,0.0001379892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008462807,0.00128349,0.8464549,0.0007529967,0.003404833,0.0009212308,0.01425117,0.0002041044,0.00769356,0.0001321079,0.05933936,0.05709942],"study_design_scores_gemma":[0.0005100644,0.0006900823,0.8904748,0.00006257899,0.001077416,0.00007935896,0.0006184156,0.0005217374,0.000473138,0.00003859166,0.1052484,0.000205438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905879,0.004396499,0.000145683,0.004325865,0.00004611272,0.0002038369,0.0002220256,0.00002024911,0.00005186475],"genre_scores_gemma":[0.9849408,0.0001124642,0.0001016369,0.01420848,0.00005342967,0.00004252023,0.0003083444,0.00001373665,0.0002185731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05689399,"threshold_uncertainty_score":0.999267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798844277072921,"score_gpt":0.315641344879622,"score_spread":0.2976529021088928,"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."}}