{"id":"W2582853680","doi":"","title":"PREDICTING THE FAILURE LOAD OF THE DISTAL TIBIA BY PERIPHERAL QUANTITATIVE COMPUTED TOMOGRAPHY: WHAT PROPERTIES AND WHERE SHOULD WE MEASURE?","year":2008,"lang":"en","type":"article","venue":"","topic":"Bone fractures and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tibia; Cadaver; Quantitative computed tomography; Compression (physics); Medicine; Bone mineral; Population; Distal tibia; Biomechanics; Cortical bone; Displacement (psychology); Computed tomography; Compressive strength; Biomedical engineering; Nuclear medicine; Orthodontics; Anatomy; Surgery; Materials science; Osteoporosis; Composite material; Internal medicine","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":[0.00159877,0.000558858,0.0006275471,0.0008712249,0.0001726091,0.0007923216,0.0004686744,0.0009308956,0.0006222068],"category_scores_gemma":[0.005458961,0.0002916867,0.0003342365,0.0005902318,0.0005336804,0.0008019109,0.0002060661,0.000349224,0.0006000995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870431,"about_ca_system_score_gemma":0.0003001315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423373,"about_ca_topic_score_gemma":0.003392425,"domain_scores_codex":[0.9996489,0.0001271178,0.00003972348,0.00005364514,0.00009907047,0.0000315637],"domain_scores_gemma":[0.9978392,0.0008793629,0.0006308901,0.00008695424,0.0004334243,0.0001301335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003106265,0.00009076067,0.9107248,0.0001701196,0.0001069933,0.0002142888,0.0001145296,0.00239701,0.01444498,0.00007330905,0.0003254925,0.07102704],"study_design_scores_gemma":[0.00002632866,0.001621279,0.9585918,0.000218604,0.0002605441,0.00174628,0.001246207,0.02691696,0.007466114,0.0005923155,0.001232516,0.00008101503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846048,0.003351559,0.01062789,0.0006017901,0.00001969863,0.00002567167,0.0001497665,0.00005387722,0.0005649842],"genre_scores_gemma":[0.9929141,0.001419612,0.005116284,0.00008099438,0.00004451037,0.00002034419,0.0001424895,0.000009237801,0.0002523606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00159877,"threshold_uncertainty_score":0.008455217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133539938494759,"score_gpt":0.2509180130876629,"score_spread":0.2095826137027153,"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."}}