{"id":"W4406144239","doi":"10.2340/17453674.2024.41169","title":"The power of registries and radiostereometric analysis (RSA)","year":2025,"lang":"en","type":"article","venue":"Acta Orthopaedica","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08380618,0.002257952,0.002267973,0.01447049,0.0008530888,0.004774794,0.002157754,0.001815908,0.01133731],"category_scores_gemma":[0.2016718,0.001435215,0.00271269,0.008713036,0.00300107,0.007669039,0.004650718,0.001370928,0.006600303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539157,"about_ca_system_score_gemma":0.002108428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434818,"about_ca_topic_score_gemma":0.001686412,"domain_scores_codex":[0.8939891,0.07375521,0.007108393,0.00807406,0.01607251,0.001000812],"domain_scores_gemma":[0.6672293,0.2288365,0.02264828,0.05487847,0.0250538,0.001353625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001982996,0.0001827401,0.4682216,0.001405841,0.001832164,0.0004782696,0.001652525,0.005777223,0.006780699,0.01303697,0.003918403,0.4947307],"study_design_scores_gemma":[0.000570257,0.003562203,0.682385,0.001700727,0.005539837,0.01922794,0.004803911,0.09694622,0.0181264,0.06023667,0.1063675,0.0005334219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2641476,0.02226335,0.6064182,0.002403844,0.001252496,0.0009677709,0.00580939,0.002042532,0.09469479],"genre_scores_gemma":[0.9019537,0.005317577,0.08423412,0.0004798359,0.001028836,0.0004162171,0.001595904,0.0006315835,0.004342094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08380618,"threshold_uncertainty_score":0.4432147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494180873460043,"score_gpt":0.2579595268043702,"score_spread":0.2504653459309101,"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."}}