{"id":"W2970535987","doi":"10.5770/cgj.22.341","title":"Hip Fractures in Older Adults in Ontario, Canada—Monthly Variation, Insights, and Implications","year":2019,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Schulich School of Medicine and Dentistry; Ontario Ministry of Health and Long-Term Care; Academic Medical Organization of Southwestern Ontario; Lawson Health Research Institute","keywords":"Medicine; Demography; Seasonality; Hip fracture; Vulnerability (computing); Comorbidity; Gerontology; Osteoporosis; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008423457,0.000228389,0.0003789817,0.001808724,0.002001271,0.001059936,0.000981385,0.0003747508,0.00159933],"category_scores_gemma":[0.003462064,0.0002393564,0.0004622331,0.006326536,0.0005721601,0.0004014785,0.0008725068,0.0004265123,0.0001520569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0197772,"about_ca_system_score_gemma":0.02028405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936528,"about_ca_topic_score_gemma":0.9965732,"domain_scores_codex":[0.9988949,0.00009721143,0.0001058823,0.0001721365,0.0003990312,0.0003309454],"domain_scores_gemma":[0.9970233,0.0001608281,0.0009008139,0.0000831516,0.001306051,0.0005258822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003255851,0.00001100953,0.992501,0.00004653954,0.00004146515,0.00004895313,0.0005984666,0.00006809795,0.00005139352,0.00004350731,0.001874173,0.004682969],"study_design_scores_gemma":[0.000001644234,0.00000407613,0.9987532,0.00002266054,0.000009920808,0.0000206055,0.0004778256,0.00008232003,0.000007165015,0.00001397637,0.0006034944,0.000003185894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736258,0.003858848,0.0003383083,0.0024817,0.00006076569,0.00007137246,0.01564258,0.00002893255,0.003891699],"genre_scores_gemma":[0.9950888,0.001242802,0.000269076,0.0002589565,0.00002443926,0.00002355383,0.00242935,0.000007719953,0.0006553766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0197772,"threshold_uncertainty_score":0.1434943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005148122107621667,"score_gpt":0.2103507329965761,"score_spread":0.2052026108889545,"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."}}