{"id":"W3119916988","doi":"10.1007/s00774-020-01198-8","title":"On challenges in clinical assessment of hip fracture risk using image-based biomechanical modelling: a critical review","year":2021,"lang":"en","type":"review","venue":"Journal of Bone and Mineral Metabolism","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Osteoporosis; Hip fracture; Risk assessment; Accidental fall; Fracture (geology); Accidental; Medicine; Orthopedic surgery; Population; Risk analysis (engineering); Biomechanics; Physical therapy; Orthodontics; Computer science; Surgery; Engineering","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006013899,0.0004319231,0.007072432,0.0007065551,0.00004312049,0.00002202753,0.0001213076,0.0006308194,0.00006951366],"category_scores_gemma":[0.002741442,0.0002817886,0.001476848,0.0004256582,0.000146322,0.00008911292,0.00006620628,0.003308375,0.000001144027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000875703,"about_ca_system_score_gemma":0.002565774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003191962,"about_ca_topic_score_gemma":0.000002601275,"domain_scores_codex":[0.9926428,0.001699043,0.003771283,0.0004491936,0.0009815693,0.0004561168],"domain_scores_gemma":[0.9949825,0.001602762,0.001568229,0.0004268318,0.0007294905,0.0006902306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001975072,0.001720479,0.000009019138,0.1212317,0.000276117,0.001095189,0.00001416515,0.000008545593,0.00001974369,0.0004687599,0.0009636077,0.8739952],"study_design_scores_gemma":[0.003250328,0.001377333,0.0001006746,0.2510943,0.005819723,0.001315872,0.00002431717,0.001656535,0.000004022476,0.000181164,0.7347947,0.0003809534],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000496885,0.9953007,0.0006758654,0.002487386,0.0003267102,0.0006388961,0.00003222278,0.000003683874,0.00003762421],"genre_scores_gemma":[0.000224644,0.9804716,0.01770812,0.0008168223,0.0006892437,0.0000123311,0.00001517448,0.00005047031,0.00001163336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8736142,"threshold_uncertainty_score":0.9999634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2806691468587041,"score_gpt":0.5149881477053092,"score_spread":0.2343190008466051,"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."}}