{"id":"W2846657293","doi":"10.1177/0954411918785662","title":"Radiostereometric analysis using clinical radiographic views: Validation with model-based radiostereometric analysis for the knee","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Smith and Nephew","keywords":"Reproducibility; Repeatability; Radiography; Orthodontics; Standard deviation; Computer science; Medicine; Mathematics; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009738131,0.001034442,0.000696692,0.001366534,0.0002983029,0.0008593574,0.001030099,0.0006658352,0.001011575],"category_scores_gemma":[0.01712464,0.00062378,0.0009919882,0.0009159623,0.0007621842,0.0004056925,0.0009697741,0.0004988158,0.0004154389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209109,"about_ca_system_score_gemma":0.0008828865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002710978,"about_ca_topic_score_gemma":0.003366753,"domain_scores_codex":[0.9948119,0.002167722,0.0003756246,0.0006752746,0.001823394,0.0001460644],"domain_scores_gemma":[0.9901142,0.003582097,0.001126008,0.001947508,0.003100979,0.0001291996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001867204,0.0005006306,0.04675308,0.001138012,0.0005025592,0.0003918821,0.001129288,0.03561681,0.8040406,0.0009324875,0.0008732659,0.1062543],"study_design_scores_gemma":[0.0003979245,0.006799439,0.1689442,0.0002552151,0.001229483,0.004425879,0.0005146148,0.1641848,0.6402095,0.0008099486,0.01183713,0.0003919197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6245712,0.002177519,0.3689128,0.0001298228,0.0001029718,0.0003864392,0.0006729225,0.001130289,0.001916067],"genre_scores_gemma":[0.8191941,0.001006866,0.177417,0.0001266645,0.00003739885,0.0002888491,0.0007903919,0.0003524605,0.0007861952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009738131,"threshold_uncertainty_score":0.0515008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05411824185593374,"score_gpt":0.3157902349682832,"score_spread":0.2616719931123495,"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."}}