{"id":"W2082346262","doi":"10.1089/jwh.2005.14.159","title":"Simple Computer Model for Calculating and Reporting 5-Year Osteoporotic Fracture Risk in Postmenopausal Women","year":2005,"lang":"en","type":"article","venue":"Journal of Women s Health","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging; Kaiser Permanente","keywords":"Medicine; Osteoporosis; Osteopenia; Bone mineral; Absolute risk reduction; Fracture (geology); Cohort; Risk assessment; Hip fracture; Physical therapy; Internal medicine; Confidence interval","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":[0.004111448,0.0008923826,0.001070815,0.001435448,0.0004884572,0.001402157,0.001702603,0.001151573,0.004043426],"category_scores_gemma":[0.02430985,0.0006285231,0.001320217,0.0008800287,0.0005146519,0.000949327,0.0008983124,0.0006779343,0.0008820667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002312762,"about_ca_system_score_gemma":0.002856686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03312694,"about_ca_topic_score_gemma":0.02075,"domain_scores_codex":[0.9977501,0.001126217,0.0002124475,0.0003932405,0.0004275634,0.0000904529],"domain_scores_gemma":[0.9826262,0.01406631,0.001108784,0.0007364451,0.001311144,0.0001511491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004933028,0.000232212,0.03574009,0.0001342732,0.0002957251,0.0002524256,0.0002549995,0.8934371,0.0009474389,0.004553271,0.002701941,0.06095713],"study_design_scores_gemma":[0.00006065561,0.00007771914,0.001502864,0.0000173732,0.00003989563,0.00009097611,0.00001788703,0.9949897,0.0002620191,0.002191698,0.0007309213,0.000018277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1617504,0.0002902155,0.8231063,0.0009691926,0.00009568288,0.0007291388,0.00204754,0.00734607,0.003665501],"genre_scores_gemma":[0.6718007,0.0002723591,0.3215524,0.0004481191,0.00006423787,0.00145277,0.001644959,0.0002467779,0.002517721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03312694,"threshold_uncertainty_score":0.06586826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037316678281289,"score_gpt":0.3782773011053596,"score_spread":0.3409606228240706,"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."}}