{"id":"W4403097507","doi":"10.1001/jamaoncol.2024.4318","title":"Fracture Risk Prediction Using the Fracture Risk Assessment Tool in Individuals With Cancer","year":2024,"lang":"en","type":"article","venue":"JAMA Oncology","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; University of Manitoba; University of Alberta","funders":"Medical Research Council","keywords":"Medicine; FRAX; Hip fracture; Cohort; Cohort study; Population; Internal medicine; Retrospective cohort study; Cancer; Cancer registry; Bone mineral; Osteoporosis; Physical therapy; Osteoporotic fracture; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001585554,0.0004039466,0.0004693618,0.001899555,0.0004094451,0.0007931643,0.0004866797,0.0005193952,0.000932273],"category_scores_gemma":[0.008629587,0.000176619,0.0006140387,0.002077153,0.0001977286,0.0003483557,0.0004637701,0.0006009214,0.0002901077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007004481,"about_ca_system_score_gemma":0.001134545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05157047,"about_ca_topic_score_gemma":0.07761993,"domain_scores_codex":[0.9990415,0.0002813598,0.0001084069,0.0001062166,0.0003680376,0.00009451501],"domain_scores_gemma":[0.9985085,0.0003409238,0.0004825384,0.0000576817,0.0004692085,0.0001410816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000058339,0.00002308797,0.992912,0.00001860011,0.00006156658,0.00002642209,0.00003361661,0.0001498996,0.00002845866,0.00001698179,0.0005965393,0.00607454],"study_design_scores_gemma":[0.00003333588,0.000158495,0.9929144,0.0001012693,0.0001359267,0.0003131223,0.0001597891,0.004566946,0.000126738,0.0001591264,0.001312097,0.00001870673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888335,0.003167819,0.001514798,0.0007879627,0.00007234983,0.0001193277,0.002403742,0.00005086559,0.003049648],"genre_scores_gemma":[0.9958334,0.0005370153,0.001941122,0.00008198784,0.00002900841,0.00004271872,0.001222517,0.00000339756,0.0003087948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05157047,"threshold_uncertainty_score":0.1025406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442269801178818,"score_gpt":0.4089161564127661,"score_spread":0.3844934584009779,"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."}}