{"id":"W2558384571","doi":"10.1016/j.jse.2016.09.043","title":"The “July effect” in total shoulder arthroplasty","year":2016,"lang":"en","type":"article","venue":"Journal of Shoulder and Elbow Surgery","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Context (archaeology); Orthopedic surgery; Adverse effect; Logistic regression; Comorbidity; Arthroplasty; Quarter (Canadian coin); Emergency medicine; Physical therapy; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007882612,0.0002717602,0.0008313071,0.000980061,0.001341757,0.002321919,0.0008832259,0.002468568,0.01995408],"category_scores_gemma":[0.04686837,0.0003450331,0.001322155,0.001816224,0.002530528,0.002953709,0.002495329,0.004575204,0.001195532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239121,"about_ca_system_score_gemma":0.005973197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597728,"about_ca_topic_score_gemma":0.05014963,"domain_scores_codex":[0.9921704,0.004557483,0.0003997529,0.0004155351,0.001312729,0.001144094],"domain_scores_gemma":[0.9605582,0.02470013,0.005854647,0.001711512,0.002393847,0.004781553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006608577,0.001097705,0.3835891,0.001053555,0.001255612,0.0009240583,0.00132776,0.005997553,0.0003782326,0.07924674,0.2597979,0.2587232],"study_design_scores_gemma":[0.0009172481,0.001460414,0.8187899,0.002403945,0.0008834222,0.001623236,0.00623374,0.00286558,0.0006169401,0.05825462,0.1057818,0.000169242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4519692,0.06598303,0.002886592,0.2960895,0.01384045,0.00009426837,0.002633189,0.0002156633,0.1662881],"genre_scores_gemma":[0.9540133,0.008356547,0.0005195407,0.02268844,0.009002514,0.00004282219,0.0004507774,0.000145325,0.004780611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995408,"threshold_uncertainty_score":0.06675309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324161736866547,"score_gpt":0.2776310316116216,"score_spread":0.2643894142429561,"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."}}