{"id":"W4394618389","doi":"10.1093/jbmr/zjae048","title":"The American Society for Bone and Mineral Research Task Force on clinical algorithms for fracture risk report","year":2024,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; RTDS Technologies (Canada)","funders":"Argenx; Amgen","keywords":"FRAX; Medicine; Task force; Hip fracture; Ethnic group; Cohort; Gerontology; Bone mineral; Demography; Osteoporosis; Osteoporotic fracture; 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":[0.1362814,0.002490303,0.007007451,0.01750258,0.001844904,0.006850477,0.006895278,0.005451156,0.01804196],"category_scores_gemma":[0.3420236,0.002217206,0.008339489,0.01496987,0.002277814,0.003031136,0.005538468,0.01150928,0.01623152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005570746,"about_ca_system_score_gemma":0.03769736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03482381,"about_ca_topic_score_gemma":0.0233995,"domain_scores_codex":[0.9091707,0.03599908,0.02211038,0.003526086,0.02779352,0.001400297],"domain_scores_gemma":[0.6053451,0.1507221,0.02776708,0.01690627,0.1957179,0.003541569],"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":[0.0004986118,0.0002092675,0.01632917,0.005760932,0.001355673,0.0001413785,0.000331911,0.002446392,0.0004501327,0.00805488,0.6201513,0.3442704],"study_design_scores_gemma":[0.001980745,0.0003835384,0.04215313,0.03124941,0.002591386,0.001018189,0.0003605627,0.01177525,0.001012963,0.03436369,0.8726798,0.0004312341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007558141,0.1813656,0.3838149,0.1369175,0.03309419,0.04818015,0.1111634,0.01347621,0.08442985],"genre_scores_gemma":[0.03027778,0.1046198,0.6148756,0.02302467,0.006431782,0.06518085,0.1302854,0.003858387,0.02144573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1362814,"threshold_uncertainty_score":0.7207335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529056333835996,"score_gpt":0.5282411799380253,"score_spread":0.3753355465544258,"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."}}