{"id":"W3123323890","doi":"10.1002/jbmr.4216","title":"Patient Healthcare Trajectory and its Impact on the Cost-Effectiveness of Fracture Liaison Services","year":2020,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sanofi (Canada); McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Fonds de Recherche du Québec - Santé; Réseau Québécois de Recherche sur les Médicaments; Eli Lilly and Company","keywords":"Medicine; Health care; Psychological intervention; Trajectory; Quality-adjusted life year; Cohort; Quality of life (healthcare); Cost effectiveness; Prospective cohort study; Physical therapy; Demography; Surgery; Internal medicine","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":[0.004676679,0.000301505,0.0004809434,0.001048344,0.0004398748,0.001628066,0.00058149,0.0006248945,0.002922226],"category_scores_gemma":[0.0316337,0.0001991833,0.00136611,0.00170393,0.0002968175,0.001398363,0.001243383,0.0007780823,0.0001584649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00337876,"about_ca_system_score_gemma":0.002302165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01802004,"about_ca_topic_score_gemma":0.01578857,"domain_scores_codex":[0.9956856,0.002610811,0.0003813167,0.0003169881,0.0004793587,0.0005258207],"domain_scores_gemma":[0.9901933,0.004678285,0.003374873,0.0003427966,0.0005990932,0.0008116892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002338702,0.0005630362,0.9474185,0.0001163041,0.000936724,0.0001494455,0.0002307692,0.01272481,0.00008530583,0.001694948,0.000456222,0.03328532],"study_design_scores_gemma":[0.000186809,0.001864371,0.9384663,0.0002600154,0.0008260771,0.0004231711,0.001128144,0.05180405,0.0002283451,0.003576194,0.001183929,0.00005252308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940565,0.001363295,0.0009443236,0.001049489,0.0000171687,0.00008237889,0.001079371,0.00001126558,0.001396245],"genre_scores_gemma":[0.9988315,0.0002205917,0.0004375323,0.00005755894,0.00000740422,0.00002273685,0.0003329158,0.000002921387,0.0000868081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01802004,"threshold_uncertainty_score":0.03583032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08075193070956835,"score_gpt":0.4215536654610998,"score_spread":0.3408017347515315,"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."}}