{"id":"W4393116913","doi":"10.1177/09544119241238950","title":"Phantom validation of a novel RSA-based impingement metric to assess component-on-component impingement risk","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Imaging phantom; Repeatability; Metric (unit); Radiography; Nuclear medicine; Biomedical engineering; Mathematics; Medicine; Radiology; Statistics","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":[0.003771671,0.0008064294,0.0005349278,0.001043836,0.0001419512,0.0007162123,0.0008337923,0.0008576489,0.0008827392],"category_scores_gemma":[0.01036857,0.0004459983,0.0005311931,0.0005556637,0.000566899,0.0004827959,0.0008322903,0.0003796246,0.0002672261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393246,"about_ca_system_score_gemma":0.0004711405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004545395,"about_ca_topic_score_gemma":0.0006586924,"domain_scores_codex":[0.9978447,0.0007945187,0.0001817805,0.0002583608,0.0008451577,0.00007545778],"domain_scores_gemma":[0.994908,0.002210581,0.0009023676,0.0007368225,0.001112164,0.000130089],"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":[0.001043603,0.0003045572,0.01599463,0.0005842723,0.0001573079,0.0002709925,0.000349578,0.02550767,0.8857105,0.0008942875,0.0005941375,0.06858847],"study_design_scores_gemma":[0.00033314,0.01319915,0.113361,0.0002327755,0.000777972,0.006389848,0.0003087173,0.2683382,0.5839442,0.001769936,0.01084197,0.0005030383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5513172,0.004409353,0.4394552,0.0002844141,0.000218443,0.000465053,0.0004880823,0.001198494,0.002163786],"genre_scores_gemma":[0.7957249,0.0007330501,0.2017475,0.0001492533,0.00004317213,0.0002718309,0.0003261386,0.00009727504,0.0009067953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003771671,"threshold_uncertainty_score":0.01994675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784228603104787,"score_gpt":0.2925678179311454,"score_spread":0.2547255319000975,"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."}}