{"id":"W2113997530","doi":"10.1016/j.arth.2009.04.011","title":"The Accuracy of Digital Templating in Uncemented Total Hip Arthroplasty","year":2009,"lang":"en","type":"article","venue":"The Journal of Arthroplasty","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Sizing; Total hip arthroplasty; Intraclass correlation; Reliability (semiconductor); Reproducibility; Total hip replacement; Biomedical engineering; Materials science; Computer science; Surgery; Medicine; Chemistry; Chromatography; Physics","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":[0.003399062,0.0003493317,0.0004924837,0.001958685,0.0002858292,0.002094612,0.0007634007,0.0009971244,0.00142731],"category_scores_gemma":[0.04520693,0.0004305754,0.0003339235,0.001966769,0.001365899,0.001615869,0.0008739929,0.0009117837,0.0006517295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479318,"about_ca_system_score_gemma":0.0004032224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663698,"about_ca_topic_score_gemma":0.003056262,"domain_scores_codex":[0.9947169,0.001445355,0.001055284,0.0003495018,0.002219819,0.0002132203],"domain_scores_gemma":[0.9568012,0.02719524,0.005326814,0.004028135,0.006300528,0.0003480491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00877537,0.00006416504,0.6954145,0.0009450075,0.0002433589,0.002115377,0.00150383,0.005748466,0.0290068,0.001247644,0.001101869,0.2538336],"study_design_scores_gemma":[0.0001277595,0.001941085,0.7760438,0.0004218534,0.001320449,0.03305461,0.001372306,0.04252965,0.1328945,0.001418653,0.008649355,0.0002258658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616881,0.01786409,0.01353558,0.0003241493,0.0004280181,0.00001576772,0.0004057992,0.0001502018,0.005588206],"genre_scores_gemma":[0.9952335,0.001231982,0.002995191,0.00005061444,0.00007893565,0.000002548103,0.00006764131,0.00003673388,0.000302945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003399062,"threshold_uncertainty_score":0.01797616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749530745187767,"score_gpt":0.2752615904913199,"score_spread":0.2577662830394422,"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."}}