{"id":"W3186515592","doi":"10.1007/s00223-021-00891-8","title":"Calibration of FRAX: A Journey, not a Destination","year":2021,"lang":"en","type":"letter","venue":"Calcified Tissue International","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"FRAX; Calibration; Medicine; Computer science; Statistics; Mathematics; Internal medicine","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":[0.005963002,0.0005531383,0.001022453,0.0006496707,0.002644992,0.003065208,0.001615382,0.03381766,0.004970539],"category_scores_gemma":[0.0453491,0.0005127615,0.001157887,0.0005103119,0.004771045,0.005587063,0.001768973,0.0339051,0.003602791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003960283,"about_ca_system_score_gemma":0.003335326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264478,"about_ca_topic_score_gemma":0.004610257,"domain_scores_codex":[0.9933779,0.002060537,0.0007306467,0.0007862552,0.002633234,0.0004115296],"domain_scores_gemma":[0.9798707,0.01201557,0.001487772,0.001236282,0.003510837,0.001878821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007089094,0.00003274716,0.00110162,0.0001047716,0.0000214942,0.007343619,0.0004801719,0.0002136289,0.0007586345,0.01592694,0.9363444,0.03760102],"study_design_scores_gemma":[0.00003384774,0.00006499128,0.0006968254,0.0003658936,0.00001343461,0.01358811,0.0007737256,0.0005363886,0.0003989104,0.02762933,0.9558516,0.00004700871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005118948,0.003228111,0.0007274119,0.9841288,0.008100856,0.000005283769,0.00001031971,0.00002666269,0.003260685],"genre_scores_gemma":[0.01804079,0.00505616,0.003396926,0.8927081,0.06506539,0.00003644451,0.00002491788,0.0001310401,0.01554034],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03381766,"threshold_uncertainty_score":0.03153574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06703696998405659,"score_gpt":0.3670251443796337,"score_spread":0.2999881743955771,"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."}}