{"id":"W3196593516","doi":"10.1002/jbmr.4438","title":"Prediction of Osteoporotic Fractures in Elderly Individuals: A Derivation and Internal Validation Study Using Healthcare Administrative Data","year":2020,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Institut National de Santé Publique du Québec","funders":"Fonds de Recherche du Québec - Santé; Centre Hospitalier Universitaire de Québec; Université Laval","keywords":"Osteoporosis; Medicine; Hip fracture; Physical therapy; Femur; Population; Gerontology; Internal medicine; Surgery; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03944402,0.00112608,0.0008111487,0.001187659,0.000764068,0.001155392,0.001846393,0.0007139634,0.0004978568],"category_scores_gemma":[0.05031079,0.0005531504,0.001614199,0.001288879,0.001096239,0.000585039,0.001511986,0.001347236,0.0004068926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381884,"about_ca_system_score_gemma":0.004562682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07542787,"about_ca_topic_score_gemma":0.05783531,"domain_scores_codex":[0.9906054,0.006240655,0.0004298098,0.0009917078,0.001363598,0.0003687619],"domain_scores_gemma":[0.9512265,0.02959984,0.003639173,0.006103882,0.008602724,0.0008278372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005267978,0.0007808924,0.9809745,0.00003176792,0.0004963967,0.00009208943,0.0004651798,0.006626922,0.0002742312,0.0001660516,0.0006208054,0.00894431],"study_design_scores_gemma":[0.0003734858,0.001091441,0.8872873,0.00008325726,0.0004282075,0.0002216975,0.0005453915,0.107056,0.001207691,0.0003977493,0.001257257,0.00005062876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959168,0.0000818298,0.002679494,0.00004405819,0.00001000789,0.0002348109,0.0006573435,0.00003991875,0.000335882],"genre_scores_gemma":[0.9920089,0.00007645207,0.0048515,0.00005741142,0.000008234601,0.0001858741,0.002629185,0.00001585836,0.0001665614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07542787,"threshold_uncertainty_score":0.2086024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.379326168906291,"score_gpt":0.4993970579415674,"score_spread":0.1200708890352764,"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."}}