{"id":"W4400965459","doi":"10.1038/s41598-024-67276-3","title":"Reliable prediction of implant size and axial alignment in AI-based 3D preoperative planning for total knee arthroplasty","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fujian Provincial Hospital; Natural Science Foundation of Fujian Province","keywords":"Total knee arthroplasty; Implant; Arthroplasty; Orthodontics; Computer science; Medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006210381,0.0003099786,0.0002570873,0.0005872328,0.00008746237,0.0004407825,0.0002248651,0.0002341461,0.0004523861],"category_scores_gemma":[0.003827093,0.0003032326,0.0003147217,0.0002631731,0.0001982095,0.0002719619,0.0003883698,0.0001708602,0.000150058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207555,"about_ca_system_score_gemma":0.0002297756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008118961,"about_ca_topic_score_gemma":0.001107152,"domain_scores_codex":[0.9994853,0.0001922459,0.00005828677,0.00004955157,0.0001968934,0.00001765204],"domain_scores_gemma":[0.9989358,0.0004939248,0.0002479553,0.000115166,0.0001674441,0.00003974226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003354367,0.0004563724,0.2854638,0.0003851831,0.0001732573,0.0004853614,0.0006635894,0.0546554,0.1049149,0.0003034332,0.0006415018,0.5485029],"study_design_scores_gemma":[0.0001897308,0.004031152,0.5555394,0.0001057523,0.0003629145,0.003314914,0.0005448295,0.3826969,0.04924476,0.0008001333,0.002978995,0.0001905328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326583,0.001359023,0.06470922,0.00004094878,0.00003235962,0.00007621104,0.000123802,0.0001841942,0.0008159492],"genre_scores_gemma":[0.9768553,0.000324305,0.0224991,0.00001735675,0.00001083009,0.00004963712,0.0001096391,0.00001005957,0.0001237298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008118961,"threshold_uncertainty_score":0.003284395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290503291857334,"score_gpt":0.2691227350211559,"score_spread":0.2562177021025825,"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."}}