{"id":"W2417780988","doi":"","title":"Hip fracture outcomes in the household population.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Hip fracture; Medicine; Population; Demography; Environmental health; Internal medicine; Osteoporosis; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006104691,0.0000846904,0.0001498259,0.00009707136,0.00003500723,0.00001463469,0.00008691099,0.00008999443,0.0000217223],"category_scores_gemma":[0.000182734,0.00004584825,0.00005788192,0.0001546316,0.00001717955,0.00004608987,0.000008023212,0.0002459558,0.000006326528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003566474,"about_ca_system_score_gemma":0.000005649896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001759033,"about_ca_topic_score_gemma":0.00009038048,"domain_scores_codex":[0.9991786,0.0000209738,0.0001709154,0.0001137449,0.0002332289,0.0002825265],"domain_scores_gemma":[0.9995049,0.0001443795,0.00003749799,0.0002314212,0.000009258266,0.000072581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003888732,0.00008121665,0.9651373,0.000007396716,0.00001218396,0.00005478875,0.0003952597,0.000007426863,0.000002377003,0.00009755586,0.00275192,0.03141367],"study_design_scores_gemma":[0.0004689476,0.000006835871,0.9749848,0.000002555431,0.00001885169,0.0000142269,0.0001163727,9.742859e-7,0.00006027556,0.0002400878,0.02403245,0.00005357389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838874,0.0001944772,0.0001085895,0.007170871,0.0001530629,0.0006914834,0.000002290215,0.00005586694,0.007735943],"genre_scores_gemma":[0.9853662,0.000004034397,0.00004953274,0.01352158,0.0002199669,0.0001012752,0.00001237392,0.00001149055,0.0007135802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03136009,"threshold_uncertainty_score":0.1869637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330677482666945,"score_gpt":0.2693285418472409,"score_spread":0.2360217670205715,"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."}}