{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004911889,0.0001667641,0.0004676022,0.0001266274,0.00009502123,0.00001272639,0.0004234759,0.0000660074,0.000101316],"category_scores_gemma":[0.0002369309,0.0001110089,0.00006175302,0.0003132251,0.00016252,0.0001639944,0.0005229745,0.0003161565,0.00001083866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001327179,"about_ca_system_score_gemma":0.0003609374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006463807,"about_ca_topic_score_gemma":0.0001715665,"domain_scores_codex":[0.998011,0.0002649168,0.0004711514,0.0004176669,0.0005655257,0.000269769],"domain_scores_gemma":[0.9974951,0.0006960485,0.0002469364,0.001249832,0.0001504157,0.0001617137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003603724,0.001927616,0.8515052,0.002054449,0.0003018873,0.000008060806,0.03250127,0.00007703988,0.0912715,0.00008641307,0.002816765,0.01384613],"study_design_scores_gemma":[0.003552082,0.001557674,0.9707687,0.0003327043,0.000155955,0.00002049448,0.008244586,0.001469852,0.01199358,0.0001861094,0.00157988,0.0001383401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913573,0.000948393,0.0001041667,0.00339011,0.00007825971,0.003175539,0.00008193373,0.00001355918,0.0008507697],"genre_scores_gemma":[0.994546,0.0001439525,0.003797384,0.0007914027,0.00003174365,0.00003107612,0.00005891871,0.00002333117,0.0005762056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192636,"threshold_uncertainty_score":0.4526812,"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."}}