{"id":"W2924829282","doi":"10.1007/s11657-019-0571-8","title":"Rationale, study design, and descriptive data of the Lucky Bone™ Fracture Liaison Service","year":2019,"lang":"en","type":"article","venue":"Archives of Osteoporosis","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Hôpital de l'Enfant-Jésus; Montreal General Hospital; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Sanofi (Canada); 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":"Eli Lilly Canada; Réseau Québécois de Recherche sur les Médicaments; Fonds de Recherche du Québec - Santé; Sanofi","keywords":"Medicine; Service (business); Orthopedic surgery; Family medicine; Medical emergency; Surgery; Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0933268,0.002246367,0.002883659,0.004604376,0.004313947,0.004298112,0.003214212,0.003222624,0.02046106],"category_scores_gemma":[0.07998539,0.003519282,0.001922677,0.003593782,0.005000925,0.002384777,0.002184929,0.003938584,0.004960588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006708403,"about_ca_system_score_gemma":0.03459135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147713,"about_ca_topic_score_gemma":0.01176904,"domain_scores_codex":[0.9488941,0.03170893,0.007661811,0.002904288,0.0062252,0.002605717],"domain_scores_gemma":[0.9626843,0.01330134,0.004974541,0.003434254,0.01099939,0.004606098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1925373,0.04092969,0.265204,0.03016106,0.002220887,0.00285115,0.02074453,0.004794499,0.005584833,0.08745428,0.09035628,0.2571614],"study_design_scores_gemma":[0.1384484,0.06558309,0.2715161,0.04201495,0.003509443,0.00245564,0.01947628,0.01214642,0.008132634,0.04664216,0.3888718,0.001203109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.04475904,0.002360783,0.01533555,0.003440449,0.00090596,0.9181709,0.009163688,0.00007116854,0.005792397],"genre_scores_gemma":[0.0471763,0.0006388136,0.02296227,0.00273349,0.0003041301,0.9228172,0.001796084,0.00001840575,0.001553336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0933268,"threshold_uncertainty_score":0.4935652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533174522579824,"score_gpt":0.3206694669662222,"score_spread":0.2653377217404239,"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."}}