{"id":"W4399712215","doi":"10.1016/j.xrrt.2024.05.010","title":"Use of pre-operative 3D planning software for revision shoulder arthroplasty: clinical experience data from a survey in a real-world setting","year":2024,"lang":"en","type":"article","venue":"JSES Reviews Reports and Techniques","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stryker","keywords":"Orthopedic surgery; Arthroplasty; Medicine; Blueprint; Observational study; Plan (archaeology); Medical physics; Surgery; Physical therapy; Engineering","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":[0.001838748,0.000215908,0.0008844645,0.0001178105,0.00005081677,0.0000690074,0.00006084306,0.0001070924,0.00004166409],"category_scores_gemma":[0.002554794,0.000142278,0.00009579319,0.0002524495,0.00009659419,0.0003442447,0.0001696397,0.0002116792,3.646702e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132857,"about_ca_system_score_gemma":0.000111125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008980403,"about_ca_topic_score_gemma":0.0003578245,"domain_scores_codex":[0.9972966,0.0002115727,0.001410877,0.0007534728,0.000163858,0.0001636604],"domain_scores_gemma":[0.9976551,0.001062728,0.0003147809,0.0007918896,0.00009712731,0.0000783725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001449843,0.000168513,0.5967529,0.0005216629,0.00006794596,0.000493439,0.0005165415,1.976801e-7,0.00008696281,0.000007461959,0.009436662,0.3918028],"study_design_scores_gemma":[0.0002620627,0.0007148429,0.1989384,0.01578278,0.0004290806,0.0001837854,0.00005586166,0.0003524454,0.003153148,0.000108641,0.7796824,0.000336556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644239,0.1004174,0.02501243,0.000272102,0.0004710778,0.007941112,0.0006840217,0.0005574589,0.0002205172],"genre_scores_gemma":[0.5882741,0.086271,0.3204571,0.0004655481,0.0003336203,0.0007835881,0.002521939,0.00008933109,0.0008037075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7702457,"threshold_uncertainty_score":0.580193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3102841039345629,"score_gpt":0.5173323851758527,"score_spread":0.2070482812412898,"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."}}