{"id":"W4413415121","doi":"10.2196/69962","title":"Evidence-Generated Sockets for Transtibial Prosthetic Limbs Compared With Conventional Computer-Aided Designs: A Multiple-Methods Study From the Patient’s Perspective","year":2025,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Southampton; Royal Academy of Engineering; Alan Turing Institute","keywords":"Perspective (graphical); Orthodontics; Artificial limbs; Computer science; Prosthesis; Medicine; Engineering drawing; Biomedical engineering; Engineering; Surgery; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01584883,0.0007574026,0.001711497,0.001152681,0.0004531257,0.001200381,0.000641435,0.000858195,0.006154488],"category_scores_gemma":[0.03473682,0.0005250143,0.00241233,0.001096701,0.0008703542,0.0009728618,0.00109086,0.0007449719,0.0004851098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008251356,"about_ca_system_score_gemma":0.0007433741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003051138,"about_ca_topic_score_gemma":0.0005517279,"domain_scores_codex":[0.9793091,0.0150416,0.002112785,0.001334457,0.001903058,0.0002990516],"domain_scores_gemma":[0.9709027,0.01913593,0.006129295,0.001638395,0.001803111,0.0003906254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"qualitative","study_design_scores_codex":[0.3881887,0.0436612,0.1837479,0.01668433,0.008693864,0.0005972795,0.01718943,0.001337876,0.005264347,0.001551414,0.001385328,0.3316984],"study_design_scores_gemma":[0.09655689,0.6034725,0.2587048,0.002658518,0.008523495,0.0009932143,0.01075635,0.003723474,0.003558647,0.001522272,0.009213701,0.0003161513],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918727,0.002044354,0.001677114,0.00005317512,0.00004931186,0.003470365,0.0002335953,0.00001103354,0.0005883001],"genre_scores_gemma":[0.9909122,0.0007290855,0.003382577,0.00007291616,0.00004115338,0.004334677,0.00009347445,0.000007445006,0.0004263941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584883,"threshold_uncertainty_score":0.0838176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630595922436359,"score_gpt":0.3234997405650258,"score_spread":0.2871937813406622,"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."}}