{"id":"W2073403999","doi":"10.1016/j.jvir.2010.01.016","title":"Micro-CT–compatible Technique for Measuring Self-expanding Stent Forces","year":2010,"lang":"en","type":"article","venue":"Journal of Vascular and Interventional Radiology","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Stent; Resistive touchscreen; Deformation (meteorology); Scanner; Load cell; Strain gauge; Isotropy; Biomedical engineering; Materials science; Composite material; Medicine; Optics; Physics; Radiology","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":[0.0009057101,0.0005486283,0.0002730338,0.001662608,0.0003227256,0.0004167948,0.0006318432,0.001084839,0.004128371],"category_scores_gemma":[0.002656184,0.0006349289,0.0002697352,0.0009111896,0.000413674,0.0008383528,0.0004503473,0.000908652,0.000671982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229913,"about_ca_system_score_gemma":0.0006669575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036367,"about_ca_topic_score_gemma":0.002293322,"domain_scores_codex":[0.9994795,0.0001216352,0.00006210923,0.000100594,0.0002035792,0.0000325841],"domain_scores_gemma":[0.9982188,0.0008812908,0.0002003426,0.0001782969,0.0004524675,0.00006877046],"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":[0.0006537054,0.0000938127,0.007844525,0.0005800182,0.00007635813,0.0006446254,0.0001614374,0.0007764122,0.926959,0.001577166,0.002118384,0.05851455],"study_design_scores_gemma":[0.0002013242,0.0009743616,0.062744,0.0001990586,0.0004559295,0.02372121,0.0002746576,0.03105332,0.8540561,0.001557646,0.02451054,0.0002519419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2574161,0.007764394,0.7130298,0.001182731,0.0007082649,0.0009257722,0.001738662,0.002201718,0.01503256],"genre_scores_gemma":[0.46688,0.002151409,0.5244831,0.0007178965,0.00015782,0.0004473055,0.0002998391,0.0001946826,0.004667884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004128371,"threshold_uncertainty_score":0.01381075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922639337680837,"score_gpt":0.288069535682384,"score_spread":0.2688431423055757,"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."}}