{"id":"W4409451037","doi":"10.1016/j.prosdent.2025.03.002","title":"Improving facial prosthesis construction with a contactless scanning and digital workflow: A feasibility crossover randomized controlled trial of digital versus conventional manufacture of orbital and nasal prostheses","year":2025,"lang":"en","type":"article","venue":"Journal of Prosthetic Dentistry","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leeds Hospitals Charity; Guy's and St Thomas' NHS Foundation Trust; National Institute for Health and Care Research; National Institute on Handicapped Research","keywords":"Workflow; Crossover; Crossover study; Prosthesis; Biomedical engineering; Dentistry; Medicine; Materials science; Computer science; Orthodontics; Surgery; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008173033,0.0002785188,0.00208319,0.0002836343,0.00007905552,0.0002075716,0.00008516495,0.0001879345,0.00002156387],"category_scores_gemma":[0.001591609,0.0001921093,0.0004751508,0.0001569177,0.001621674,0.0005607734,0.00006495423,0.0003277895,1.371327e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009797763,"about_ca_system_score_gemma":0.0005756236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007528397,"about_ca_topic_score_gemma":0.000001516753,"domain_scores_codex":[0.9974096,0.0001133546,0.001435044,0.0002739497,0.0005593938,0.000208685],"domain_scores_gemma":[0.99675,0.00060101,0.001700775,0.0001542261,0.0006745008,0.0001194712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8797287,0.000316685,0.1003081,0.0002938764,0.000776093,0.00007771292,0.00007796864,4.453379e-7,0.00109108,0.0002423772,0.000005173669,0.01708178],"study_design_scores_gemma":[0.9681699,0.00197961,0.01423433,0.001300712,0.0009785384,0.002202502,0.0005205914,0.00003076138,0.008579699,0.001768698,0.00001850908,0.0002162049],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944488,0.0003166625,0.001127376,0.00005508682,0.0004740395,0.003043044,0.00007983841,0.00001777004,0.0004373739],"genre_scores_gemma":[0.9986491,0.00001365865,0.001060203,0.000004897563,0.00006056454,0.00004800747,0.000007579168,0.00001643057,0.0001396087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08844112,"threshold_uncertainty_score":0.7833991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106809460804017,"score_gpt":0.2813413291612376,"score_spread":0.2702732345531974,"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."}}