{"id":"W4401832808","doi":"10.1016/j.jocd.2024.101528","title":"Lumbar Spine Densitometry in People with Spinal Cord Injury: Investigation of Potential Sources of Errors","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; Toronto Rehabilitation Institute; University of Waterloo; University of British Columbia; International Collaboration On Repair Discoveries; University of Toronto; University Health Network; University of British Columbia, Okanagan Campus","funders":"Research Institute for Aging, University of Waterloo; University of Toronto; Michael Smith Health Research BC; Natural Sciences and Engineering Research Council of Canada; Craig H. Neilsen Foundation","keywords":"Medicine; Densitometry; Lumbar spine; Spinal cord injury; Lumbar; Physical medicine and rehabilitation; SPINE (molecular biology); Physical therapy; Spinal cord; Surgery; Internal medicine; Bioinformatics; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.003699511,0.0002365495,0.00157098,0.002559082,0.00002731576,0.00003276659,0.0002891652,0.000308733,0.0000960109],"category_scores_gemma":[0.00284497,0.0001755309,0.0005155185,0.003816076,0.0005254654,0.0002802062,0.0001220492,0.001671403,0.00001320684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009684132,"about_ca_system_score_gemma":0.001053964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005530089,"about_ca_topic_score_gemma":0.00002138715,"domain_scores_codex":[0.9944623,0.0003062084,0.002728656,0.0003341149,0.001822481,0.0003462287],"domain_scores_gemma":[0.9965957,0.0003075183,0.00101235,0.0003587661,0.001282525,0.0004430772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02915669,0.0003759415,0.9125099,0.001147727,0.0004858971,0.001334971,0.00004107463,0.000022596,0.03568558,0.00003831186,0.0008187783,0.01838254],"study_design_scores_gemma":[0.001831681,0.03869475,0.9401453,0.002494803,0.0003700365,0.001250576,0.0003202033,0.000515555,0.01398378,0.0001172785,0.0001227284,0.0001533835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955649,0.001604854,0.0004421494,0.001080997,0.000951022,0.0002567511,0.000007053522,0.00001738346,0.00007486694],"genre_scores_gemma":[0.993543,0.0004067113,0.004820983,0.0001296787,0.0009449287,0.000001460697,0.000003754444,0.00004457612,0.0001048981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03831881,"threshold_uncertainty_score":0.7261506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06950165386124899,"score_gpt":0.4597535332491281,"score_spread":0.3902518793878791,"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."}}