{"id":"W2029200221","doi":"10.1016/j.arth.2009.11.001","title":"Three-Dimensional Surface Deviation Maps for Analysis of Retrieved Polyethylene Acetabular Liners Using Micro-Computed Tomography","year":2009,"lang":"en","type":"article","venue":"The Journal of Arthroplasty","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Computed tomography; Materials science; Volume (thermodynamics); Polyethylene; Articular surface; Absolute deviation; Biomedical engineering; Tomography; Acetabulum; Composite material; Medicine; Radiology; Mathematics; Surgery; Physics","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":[0.0004870428,0.0003372605,0.000253385,0.002296775,0.0001595651,0.0008909387,0.0003802626,0.0003511886,0.001617763],"category_scores_gemma":[0.002042508,0.000357127,0.0002853081,0.001026682,0.0002445623,0.0004242413,0.0003281907,0.000275516,0.0003541256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242029,"about_ca_system_score_gemma":0.0003875812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019519,"about_ca_topic_score_gemma":0.002990364,"domain_scores_codex":[0.9997588,0.00002810868,0.00002746503,0.00002339452,0.0001391664,0.00002306022],"domain_scores_gemma":[0.9988432,0.0005685727,0.0001155709,0.00008753538,0.0003342288,0.00005082826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00313489,0.0001962809,0.1762339,0.0004837588,0.0002001421,0.001543469,0.001002948,0.01594465,0.4487373,0.0009221555,0.001516174,0.3500843],"study_design_scores_gemma":[0.00007673603,0.000467817,0.6324252,0.00006382629,0.0002179665,0.008500428,0.0009950786,0.2014388,0.1518238,0.0008400212,0.002948995,0.0002013739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8694231,0.0007775087,0.126058,0.0001118921,0.00002842135,0.0001563039,0.001256658,0.0008666816,0.001321418],"genre_scores_gemma":[0.9460524,0.0003213053,0.05259088,0.00002180879,0.00001378389,0.00005926734,0.0003718032,0.000121476,0.0004472271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002296775,"threshold_uncertainty_score":0.005411923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228355644747797,"score_gpt":0.2762928797305163,"score_spread":0.2534573152557366,"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."}}