{"id":"W2571042508","doi":"10.1016/j.jocd.2016.12.001","title":"Investigating the Effects of Motion Streaks on pQCT-Derived Leg Muscle Density and Its Association With Fractures","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Osteoporosis Canada; University Health Network","funders":"","keywords":"Medicine; Quantitative computed tomography; Streak; Bone density; Osteoporosis; Nuclear medicine; Motion (physics); Logistic regression; Anatomy; Internal medicine; Artificial intelligence; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000782876,0.0003750733,0.0002748508,0.000465202,0.0002077955,0.0005233276,0.0003103119,0.0004711065,0.001350603],"category_scores_gemma":[0.002564179,0.0002710068,0.0003907987,0.0005703388,0.0002578473,0.0003543054,0.0002661179,0.0004351309,0.0001689897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562214,"about_ca_system_score_gemma":0.0002125778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987511,"about_ca_topic_score_gemma":0.004727499,"domain_scores_codex":[0.9996237,0.0001225666,0.00003720523,0.000088532,0.00007021006,0.00005779719],"domain_scores_gemma":[0.9987612,0.0004917265,0.0003952727,0.00007039274,0.0001590979,0.0001224087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001177158,0.0001595441,0.9915679,0.00003359468,0.0002139283,0.0001101824,0.00009786856,0.0001065045,0.002477615,0.00002532869,0.00004868471,0.003981665],"study_design_scores_gemma":[0.000006151397,0.000259163,0.9989738,0.000005345598,0.00006498394,0.0001105784,0.00006725943,0.0002365485,0.0001910944,0.0000196529,0.0000626781,0.000002682466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988744,0.0004399326,0.0002784498,0.00002523161,0.000008845277,0.000009723274,0.0001079111,0.000003363621,0.0002522084],"genre_scores_gemma":[0.9991915,0.0000995366,0.0002634424,0.00001621649,0.00001050895,0.00001004132,0.00009382202,0.000002524926,0.0003125972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002987511,"threshold_uncertainty_score":0.005940259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267870932803302,"score_gpt":0.3799599611627556,"score_spread":0.3472812518347226,"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."}}