{"id":"W4280544234","doi":"10.1055/a-1770-4626","title":"Imaging of the Osteoporotic Spine – Quantitative Approaches in Diagnostics and for the Prediction of the Individual Fracture Risk","year":2022,"lang":"en","type":"article","venue":"RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"H2020 European Research Council; Deutsche Forschungsgemeinschaft; B. Braun-Stiftung","keywords":"Osteoporosis; Magnetic resonance imaging; Medicine; Radiology; Bone mineral; Medical imaging; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.001618022,0.0003362049,0.0005743571,0.0001894572,0.0007769832,0.00004148981,0.0005644981,0.0001572208,0.00005339714],"category_scores_gemma":[0.0007859432,0.0001958768,0.0002934235,0.0007764922,0.0005907998,0.0001496145,0.0005827582,0.001245292,8.458334e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059542,"about_ca_system_score_gemma":0.0006875212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009019157,"about_ca_topic_score_gemma":0.0004081993,"domain_scores_codex":[0.9962395,0.0004128981,0.0009293424,0.0005449759,0.001219978,0.0006533046],"domain_scores_gemma":[0.9971181,0.001090509,0.000598993,0.0008376612,0.0001946001,0.0001601795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005157578,0.0004499596,0.9737722,0.0005842067,0.0006732563,0.000009155532,0.004003768,0.00137083,0.0002782422,0.0007248294,0.003416708,0.01420113],"study_design_scores_gemma":[0.003346314,0.0005464061,0.9779246,0.000172007,0.001254065,0.0001349597,0.003669289,0.005157236,0.001969782,0.001211768,0.004412216,0.0002013506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601416,0.02546282,0.0005692738,0.007106283,0.0004907401,0.005036829,0.0009756884,0.0000330824,0.0001836812],"genre_scores_gemma":[0.9972338,0.0006138579,0.0007556811,0.0006986547,0.0001107674,0.0003443638,0.00008534805,0.00006020653,0.00009728797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03709223,"threshold_uncertainty_score":0.7987626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07187068995560493,"score_gpt":0.3210035359836036,"score_spread":0.2491328460279987,"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."}}