{"id":"W4405414314","doi":"10.1016/j.jocd.2024.101540","title":"Corrigendum to “Follow-up Bone Mineral Density Testing: 2023 Official Positions of the International Society for Clinical Densitometry” Journal of Clinical Densitometry: Assessment and Management of Musculoskeletal Health Vol 27(1), 101440,2024","year":2024,"lang":"en","type":"erratum","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Densitometry; Bone mineral; Physical therapy; Internal medicine; Osteoporosis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.02991635,0.0008748868,0.006877479,0.00212622,0.0002881965,0.0001546617,0.001309095,0.001996804,0.00007847129],"category_scores_gemma":[0.01979471,0.0006389861,0.007772966,0.003476355,0.001115374,0.0002118708,0.001446823,0.009499419,0.000015214],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512795,"about_ca_system_score_gemma":0.01069088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006415974,"about_ca_topic_score_gemma":0.00007420566,"domain_scores_codex":[0.9752359,0.001341522,0.01579439,0.001158484,0.005321714,0.001147985],"domain_scores_gemma":[0.9686541,0.00593153,0.01072226,0.001189686,0.01096027,0.002542146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003769197,0.002435756,0.1430783,0.004245904,0.00533819,0.0004380581,0.00005437009,0.000003170744,0.00009726021,0.00003341613,0.8210624,0.01944387],"study_design_scores_gemma":[0.01232911,0.0156055,0.8359811,0.009658027,0.005525882,0.002145311,0.0008814062,0.00104181,0.00003688107,0.0001616825,0.1159615,0.0006717299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624422,0.006215303,0.001077619,0.01058515,0.2163076,0.002255325,0.0004852729,0.00002596954,0.0006055793],"genre_scores_gemma":[0.5928065,0.05689991,0.147307,0.01107861,0.1004595,0.00004637616,0.0004001128,0.0007440171,0.0902579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.705101,"threshold_uncertainty_score":0.9996061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.170125487229371,"score_gpt":0.5251266407726692,"score_spread":0.3550011535432982,"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."}}