{"id":"W2939143975","doi":"10.7759/cureus.4478","title":"Accuracy of Acetabular Component Positioning Using Computer-assisted Navigation in Direct Anterior Total Hip Arthroplasty","year":2019,"lang":"en","type":"article","venue":"Cureus","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intellijoint Surgical (Canada)","funders":"","keywords":"Medicine; Total hip arthroplasty; Radiography; Standard deviation; Fluoroscopy; Orthodontics; Nuclear medicine; Arthroplasty; Bland–Altman plot; Position (finance); Mean difference; Limits of agreement; Statistical analysis; Surgery; Confidence interval; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001497745,0.0001499313,0.0004028618,0.00008286093,0.00005126714,0.00001807708,0.00005138623,0.00007730493,0.0001856155],"category_scores_gemma":[0.0000317354,0.000133854,0.00009158828,0.000147859,0.00005486846,0.0001739807,0.00008048715,0.000151691,0.00002197917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008228749,"about_ca_system_score_gemma":0.00007003891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255186,"about_ca_topic_score_gemma":0.000007388201,"domain_scores_codex":[0.9988413,0.00005634601,0.0003983933,0.0002394042,0.0002344663,0.0002300605],"domain_scores_gemma":[0.9992847,0.0000721234,0.0001984954,0.0002945595,0.00007126934,0.00007879232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005945597,0.001085351,0.4081118,0.000590711,0.0002161541,0.0003736549,0.001334991,0.001336511,0.5131835,0.00008203805,0.0001124943,0.07297818],"study_design_scores_gemma":[0.00636001,0.0009925505,0.9221841,0.003856478,0.0001201634,0.00195721,0.0003079325,0.05083985,0.01206675,0.000009607567,0.0008946065,0.0004107519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974113,0.0005467096,0.0004660833,0.00007209603,0.0007200657,0.0004057503,0.00002374945,0.00003763645,0.0003165778],"genre_scores_gemma":[0.9967124,0.0000403993,0.002928654,0.00005360041,0.0001401588,0.000002693997,0.0000743256,0.00001844929,0.00002924929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5140722,"threshold_uncertainty_score":0.5458406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771142571629286,"score_gpt":0.2765651234277711,"score_spread":0.2588536977114783,"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."}}