{"id":"W4301491873","doi":"10.1016/j.arth.2015","title":"Good vs Poor Results After Total Hip Arthroplasty: An Analysis Method Using Implant and Anatomic Parameters With the EOS Imaging System","year":2016,"lang":"en","type":"article","venue":"SAM, the Arts et Métiers ParisTech open access repository (Paris Institute of Technology)","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Total hip arthroplasty; Implant; Medicine; Nuclear medicine; Biomedical engineering; Surgery","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":[0.001310174,0.0004943755,0.001045238,0.0007002899,0.0007570939,0.0005367473,0.001056699,0.0002624154,0.00000527809],"category_scores_gemma":[0.00009604706,0.0002368907,0.000185957,0.001068475,0.00166243,0.001594936,0.001213479,0.000547372,0.000002188348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958504,"about_ca_system_score_gemma":0.0003552246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407842,"about_ca_topic_score_gemma":0.0003483678,"domain_scores_codex":[0.9967443,0.0002399786,0.0009185909,0.0009756222,0.0005084665,0.0006130703],"domain_scores_gemma":[0.9968796,0.0001615155,0.0009002549,0.001658928,0.000196716,0.0002029484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02629331,0.001275587,0.7178593,0.0007649733,0.01572762,0.007116443,0.00250637,0.002374086,0.03857449,0.007272156,0.00647799,0.1737576],"study_design_scores_gemma":[0.04755692,0.006731963,0.2923932,0.009350586,0.03873419,0.1006784,0.03203541,0.04534421,0.2282577,0.0004856903,0.1914481,0.006983728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759017,0.0003883067,0.01477099,0.005443986,0.0006860351,0.001518961,0.0001329803,0.0002193471,0.0009376729],"genre_scores_gemma":[0.9869121,0.00007720351,0.01225738,0.0002972404,0.00006678898,0.0001360211,0.00001471282,0.00004846496,0.0001901435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254661,"threshold_uncertainty_score":0.9660124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167697647740392,"score_gpt":0.3272188114160081,"score_spread":0.3055418349386042,"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."}}